From e00472e3e12aef96b96018a3474f27d30264da43 Mon Sep 17 00:00:00 2001 From: Shaun Date: Thu, 27 Feb 2020 11:27:04 +1000 Subject: [PATCH 1/2] munge the narrabri observed data --- .../scripts/narrabri/narrabri_actuals.r | 123 ++++++++++++++++-- 1 file changed, 111 insertions(+), 12 deletions(-) diff --git a/Prototypes/Cotton/munge-experiment-data/scripts/narrabri/narrabri_actuals.r b/Prototypes/Cotton/munge-experiment-data/scripts/narrabri/narrabri_actuals.r index 7fb5bf1837..bf592ae20e 100644 --- a/Prototypes/Cotton/munge-experiment-data/scripts/narrabri/narrabri_actuals.r +++ b/Prototypes/Cotton/munge-experiment-data/scripts/narrabri/narrabri_actuals.r @@ -14,24 +14,123 @@ path <- file.path(dir_sourcedata, "Deficit Trials - Output Summary.xls") + +# Get Input Data from Spreadsheet +# ------------------------------- + lai_2006 <- read_xls(path, sheet = "Actuals 0607", range = "D4:K8") -boll_no_2006 <- read_xls(path, sheet = "Actuals 0607", range = "D12:K16") #actually "fruit count" but I interperate this as boll no. +bolls_2006 <- read_xls(path, sheet = "Actuals 0607", range = "D12:K16") #actually "fruit count" but I interperate this as boll no. yield_2006 <- read_xls(path, sheet = "Actuals 0607", range = "D27:E31") -sites_no_2006 <- read_xls(path, sheet = "Actuals 0607", range = "P4:T8") +sites_2006 <- read_xls(path, sheet = "Actuals 0607", range = "P4:T8") lai_2007 <- read_xls(path, sheet = "Actuals 0708", range = "D4:K8") -boll_no_2007 <- read_xls(path, sheet = "Actuals 0708", range = "D12:K16") -square_no_2007 <- read_xls(path, sheet = "Actuals 0708", range = "D20:K24") +bolls_2007 <- read_xls(path, sheet = "Actuals 0708", range = "D12:K16") +squares_2007 <- read_xls(path, sheet = "Actuals 0708", range = "D20:K24") yield_2007 <- read_xls(path, sheet = "Actuals 0708", range = "D27:E31") -sites_no_2007 <- read_xls(path, sheet = "Actuals 0708", range = "P4:T8") +sites_2007 <- read_xls(path, sheet = "Actuals 0708", range = "P4:U8") lai_2008 <- read_xls(path, sheet = "Actuals 0809", range = "D4:K8") -boll_no_2008 <- read_xls(path, sheet = "Actuals 0809", range = "D12:K16") -square_no_2008 <- read_xls(path, sheet = "Actuals 0809", range = "D20:K24") -yield_2008 <- read_xls(path, sheet = "Actuals 0809", range = "D27:E31") -sites_no_2008 <- read_xls(path, sheet = "Actuals 0809", range = "P4:T8") -greenboll_no_2008 <- read_xls(path, sheet = "Actuals 0809", range = "P4:T8") -openboll_no_2008 <- read_xls(path, sheet = "Actuals 0809", range = "P4:T8") -maturity_2008 <- read_xls(path, sheet = "Actuals 0809", range = "P4:T8") \ No newline at end of file +bolls_2008 <- read_xls(path, sheet = "Actuals 0809", range = "D12:K16") +squares_2008 <- read_xls(path, sheet = "Actuals 0809", range = "D20:K24") +yield_2008 <- read_xls(path, sheet = "Actuals 0809", range = "D27:G31") +sites_2008 <- read_xls(path, sheet = "Actuals 0809", range = "P4:U8") +greenbolls_2008 <- read_xls(path, sheet = "Actuals 0809", range = "O12:U16") +openbolls_2008 <- read_xls(path, sheet = "Actuals 0809", range = "O20:U25") +maturity_2008 <- read_xls(path, sheet = "Actuals 0809", range = "P28:Q33") + + + +# Clean up the input data +# ----------------------- + +lai_2006 <- lai_2006 %>% select(-2,-3) +lai_2007 <- lai_2007 %>% select(-2,-3) +lai_2008 <- lai_2008 %>% select(-2,-3) + +bolls_2006 <- bolls_2006 %>% select(-2,-3) +bolls_2007 <- bolls_2007 %>% select(-2,-3) +bolls_2008 <- bolls_2008 %>% select(-2,-3) + +squares_2007 <- squares_2007 %>% select(-2,-3) +squares_2008 <- squares_2008 %>% select(-2,-3) + +greenbolls_2008 <- greenbolls_2008 %>% select(-2) +openbolls_2008 <- openbolls_2008 %>% select(-2) + + + + +# Munge the Data +# -------------- + + +# 2006 +# ---- + +lai_2006 <- lai_2006 %>% pivot_longer(cols = c("71","86","104","126","161"), names_to = "das", values_to = "lai") +lai_2006 <- lai_2006 %>% pivot_longer(cols = lai, names_to = "variable", values_to = "values") +bolls_2006 <- bolls_2006 %>% pivot_longer(cols = c("71","86","104","126","161"), names_to = "das", values_to = "bolls") +bolls_2006 <- bolls_2006 %>% pivot_longer(cols = bolls, names_to = "variable", values_to = "values") +sites_2006 <- sites_2006 %>% pivot_longer(cols = c("71","86","104","126"), names_to = "das", values_to = "sites") +sites_2006 <- sites_2006 %>% pivot_longer(cols = sites, names_to = "variable", values_to = "values") + +plant_2006 <- bind_rows(lai_2006, sites_2006, bolls_2006) +plant_2006 <- plant_2006 %>% pivot_wider(names_from = variable, values_from = values) +plant_2006 <- plant_2006 %>% mutate(year = 2006) %>% select(year, das, Treatment, everything()) + +yield_2006 <- yield_2006 %>% mutate(year = 2006) %>% select(year, Treatment, everything()) + + +# 2007 +# ---- + +lai_2007 <- lai_2007 %>% pivot_longer(cols = c("79","92","115","135","170"), names_to = "das", values_to = "lai") +lai_2007 <- lai_2007 %>% pivot_longer(cols = lai, names_to = "variable", values_to = "values") +bolls_2007 <- bolls_2007 %>% pivot_longer(cols = c("79","92","115","135","170"), names_to = "das", values_to = "bolls") +bolls_2007 <- bolls_2007 %>% pivot_longer(cols = bolls, names_to = "variable", values_to = "values") +squares_2007 <- squares_2007 %>% pivot_longer(cols = c("79","92","115","135","170"), names_to = "das", values_to = "squares") +squares_2007 <- squares_2007 %>% pivot_longer(cols = squares, names_to = "variable", values_to = "values") +sites_2007 <- sites_2007 %>% pivot_longer(cols = c("79","92","115","135","170"), names_to = "das", values_to = "sites") +sites_2007 <- sites_2007 %>% pivot_longer(cols = sites, names_to = "variable", values_to = "values") + +plant_2007 <- bind_rows(lai_2007, sites_2007, squares_2007, bolls_2007) +plant_2007 <- plant_2007 %>% pivot_wider(names_from = variable, values_from = values) +plant_2007 <- plant_2007 %>% mutate(year = 2007) %>% select(year, das, Treatment, everything()) + +yield_2007 <- yield_2007 %>% mutate(year = 2007) %>% select(year, Treatment, everything()) + + +# 2008 +# ---- + +lai_2008 <- lai_2008 %>% pivot_longer(cols = c("76","90","116","137","165"), names_to = "das", values_to = "lai") +lai_2008 <- lai_2008 %>% pivot_longer(cols = lai, names_to = "variable", values_to = "values") +bolls_2008 <- bolls_2008 %>% pivot_longer(cols = c("76","90","116","137","165"), names_to = "das", values_to = "bolls") +bolls_2008 <- bolls_2008 %>% pivot_longer(cols = bolls, names_to = "variable", values_to = "values") +squares_2008 <- squares_2008 %>% pivot_longer(cols = c("76","90","116","137","165"), names_to = "das", values_to = "squares") +squares_2008 <- squares_2008 %>% pivot_longer(cols = squares, names_to = "variable", values_to = "values") +sites_2008 <- sites_2008 %>% pivot_longer(cols = c("76","90","116","137","165"), names_to = "das", values_to = "sites") +sites_2008 <- sites_2008 %>% pivot_longer(cols = sites, names_to = "variable", values_to = "values") +greenbolls_2008 <- greenbolls_2008 %>% pivot_longer(cols = c("76","90","116","137","165"), names_to = "das", values_to = "greenbolls") +greenbolls_2008 <- greenbolls_2008 %>% pivot_longer(cols = greenbolls, names_to = "variable", values_to = "values") +openbolls_2008 <- openbolls_2008 %>% pivot_longer(cols = c("76","90","116","137","165"), names_to = "das", values_to = "openbolls") +openbolls_2008 <- openbolls_2008 %>% pivot_longer(cols = openbolls, names_to = "variable", values_to = "values") + +plant_2008 <- bind_rows(lai_2008, sites_2008, squares_2008, bolls_2008, greenbolls_2008, openbolls_2008) +plant_2008 <- plant_2008 %>% pivot_wider(names_from = variable, values_from = values) +plant_2008 <- plant_2008 %>% mutate(year = 2008) %>% select(year, das, Treatment, everything()) + +yield_2008 <- yield_2008 %>% mutate(year = 2008) %>% select(year, Treatment, everything()) + + +# Combined +# -------- + +plant <- bind_rows(plant_2006, plant_2007, plant_2008) + +yield <- bind_rows(yield_2006, yield_2007, yield_2008) + + + From bb73dd0b790d14ee88d387fcc96d1422def0810a Mon Sep 17 00:00:00 2001 From: Shaun Date: Mon, 2 Mar 2020 11:43:13 +1000 Subject: [PATCH 2/2] add narrabri observed data --- Prototypes/Cotton/Cotton_Shaun.apsimx | 25 +- Prototypes/Cotton/emerald.xlsx | Bin 22204 -> 16838 bytes .../Cotton/munge-experiment-data/.Rhistory | 512 ++++++++++++++++++ .../output/APSIMClassicValidation.xlsx | Bin 14333 -> 20826 bytes .../munge-experiment-data/output/ayr.xlsx | Bin 132466 -> 114632 bytes .../munge-experiment-data/output/emerald.xlsx | Bin 22204 -> 16838 bytes .../output/narrabri.xlsx | Bin 0 -> 25761 bytes .../munge-experiment-data/scripts/ayr/ayr.r | 2 +- .../scripts/emerald/emerald.r | 2 +- .../scripts/narrabri/narrabri.r | 51 ++ .../scripts/narrabri/narrabri_actuals.r | 16 +- .../scripts/narrabri/narrabri_soilprobe.r | 166 ++++++ Prototypes/Cotton/narrabri.xlsx | Bin 0 -> 25761 bytes 13 files changed, 764 insertions(+), 10 deletions(-) create mode 100644 Prototypes/Cotton/munge-experiment-data/.Rhistory create mode 100644 Prototypes/Cotton/munge-experiment-data/output/narrabri.xlsx create mode 100644 Prototypes/Cotton/munge-experiment-data/scripts/narrabri/narrabri.r create mode 100644 Prototypes/Cotton/munge-experiment-data/scripts/narrabri/narrabri_soilprobe.r create mode 100644 Prototypes/Cotton/narrabri.xlsx diff --git a/Prototypes/Cotton/Cotton_Shaun.apsimx b/Prototypes/Cotton/Cotton_Shaun.apsimx index 18bc75a181..65c1f94300 100644 --- a/Prototypes/Cotton/Cotton_Shaun.apsimx +++ b/Prototypes/Cotton/Cotton_Shaun.apsimx @@ -2,7 +2,7 @@ "$type": "Models.Core.Simulations, Models", "ExplorerWidth": 282, "Version": 79, - "ApsimVersion": "Version 0.0.0.0, built 2020-02-24", + "ApsimVersion": "Version 0.0.0.0, built 2020-02-27", "Name": "Simulations", "Children": [ { @@ -6511,9 +6511,10 @@ "$type": "Models.PostSimulationTools.ExcelInput, Models", "FileName": "emerald.xlsx", "SheetNames": [ - "Yield", - "Fruit", - "SoilWater" + "Emerald_Phenology", + "Emerald_Yield", + "Emerald_Fruit", + "Emerald_SoilWater" 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names_to = "das", values_to = "lai") +lai_2007 <- lai_2007 %>% pivot_longer(cols = lai, names_to = "variable", values_to = "values") +bolls_2007 <- bolls_2007 %>% pivot_longer(cols = c("79","92","115","135","170"), names_to = "das", values_to = "bolls") +bolls_2007 <- bolls_2007 %>% pivot_longer(cols = bolls, names_to = "variable", values_to = "values") +squares_2007 <- squares_2007 %>% pivot_longer(cols = c("79","92","115","135","170"), names_to = "das", values_to = "squares") +squares_2007 <- squares_2007 %>% pivot_longer(cols = squares, names_to = "variable", values_to = "values") +sites_2007 <- sites_2007 %>% pivot_longer(cols = c("79","92","115","135","170"), names_to = "das", values_to = "sites") +sites_2007 <- sites_2007 %>% pivot_longer(cols = sites, names_to = "variable", values_to = "values") +plant_2007 <- bind_rows(lai_2007, sites_2007, squares_2007, bolls_2007) +plant_2007 <- plant_2007 %>% pivot_wider(names_from = variable, values_from = values) +plant_2007 <- plant_2007 %>% mutate(year = 2007) %>% select(year, das, Treatment, everything()) +yield_2007 <- yield_2007 %>% mutate(year = 2007) %>% select(year, Treatment, everything()) +# 2008 +# ---- +lai_2008 <- lai_2008 %>% pivot_longer(cols = c("76","90","116","137","165"), names_to = "das", values_to = "lai") +lai_2008 <- lai_2008 %>% pivot_longer(cols = lai, names_to = "variable", values_to = "values") +bolls_2008 <- bolls_2008 %>% pivot_longer(cols = c("76","90","116","137","165"), names_to = "das", values_to = "bolls") +bolls_2008 <- bolls_2008 %>% pivot_longer(cols = bolls, names_to = "variable", values_to = "values") +squares_2008 <- squares_2008 %>% pivot_longer(cols = c("76","90","116","137","165"), names_to = "das", values_to = "squares") +squares_2008 <- squares_2008 %>% pivot_longer(cols = squares, names_to = "variable", values_to = "values") +sites_2008 <- sites_2008 %>% pivot_longer(cols = c("76","90","116","137","165"), names_to = "das", values_to = "sites") +sites_2008 <- sites_2008 %>% pivot_longer(cols = sites, names_to = "variable", values_to = "values") +greenbolls_2008 <- greenbolls_2008 %>% pivot_longer(cols = c("76","90","116","137","165"), names_to = "das", values_to = "greenbolls") +greenbolls_2008 <- greenbolls_2008 %>% pivot_longer(cols = greenbolls, names_to = "variable", values_to = "values") +openbolls_2008 <- openbolls_2008 %>% pivot_longer(cols = c("76","90","116","137","165"), names_to = "das", values_to = "openbolls") +openbolls_2008 <- openbolls_2008 %>% pivot_longer(cols = openbolls, names_to = "variable", values_to = "values") +plant_2008 <- bind_rows(lai_2008, sites_2008, squares_2008, bolls_2008, greenbolls_2008, openbolls_2008) +plant_2008 <- plant_2008 %>% pivot_wider(names_from = variable, values_from = values) +plant_2008 <- plant_2008 %>% mutate(year = 2008) %>% select(year, das, Treatment, everything()) +yield_2008 <- yield_2008 %>% mutate(year = 2008) %>% select(year, Treatment, everything()) +# Combined +# -------- +plant <- bind_rows(plant_2006, plant_2007, plant_2008) +yield <- bind_rows(yield_2006, yield_2007, yield_2008) +#! /bin/bash +library(tidyverse) +library(readxl) +library(writexl) +library(lubridate) +dir_sourcedata <- file.path("C:","Users","ver078","Dropbox","CottonModel","OldData","Narrabri(Stephen)", "Soil Probe Data") +path <- file.path(dir_sourcedata, "ProbeReading Summary.xls") +#nb. the probes only went down to 120cm. So all the sw measurments are the cumulative sw down to 120cm +# 2006 +# ---- +blue_date <- read_xls(path, sheet = "2006-07", range = "C6:AJ6", col_names = FALSE) +blue_sw <- read_xls(path, sheet = "2006-07", range = "C7:AJ7", col_names = FALSE) +blue_date <- t(blue_date) +blue_sw <- t(blue_sw) +blue <- data_frame(blue_date,blue_sw) +names(blue)[1] <- "date" +names(blue)[2] <- "sw_120" +blue_2006 <- blue %>% mutate(year = 2006, treatment = "Blue") %>% select(year, treatment, date, sw_120) +red_date <- read_xls(path, sheet = "2006-07", range = "C11:AJ11", col_names = FALSE) +red_sw <- read_xls(path, sheet = "2006-07", range = "C12:AJ12", col_names = FALSE) +red_date <- t(red_date) +red_sw <- t(red_sw) +red <- data_frame(red_date,red_sw) +names(red)[1] <- "date" +names(red)[2] <- "sw_120" +red_2006 <- red %>% mutate(year = 2006, treatment = "Red") %>% select(year, treatment, date, sw_120) +green_date <- read_xls(path, sheet = "2006-07", range = "C16:AC16", col_names = FALSE) +green_sw <- read_xls(path, sheet = "2006-07", range = "C17:AC17", col_names = FALSE) +green_date <- t(green_date) +green_sw <- t(green_sw) +green <- data_frame(green_date,green_sw) +names(green)[1] <- "date" +names(green)[2] <- "sw_120" +green_2006 <- green %>% mutate(year = 2006, treatment = "Green") %>% select(year, treatment, date, sw_120) +grey_date <- read_xls(path, sheet = "2006-07", range = "C21:Z21", col_names = FALSE) +grey_sw <- read_xls(path, sheet = "2006-07", range = "C22:Z22", col_names = FALSE) +grey_date <- t(grey_date) +grey_sw <- t(grey_sw) +grey <- data_frame(grey_date,grey_sw) +names(grey)[1] <- "date" +names(grey)[2] <- "sw_120" +grey_2006 <- grey %>% mutate(year = 2006, treatment = "Grey") %>% select(year, treatment, date, sw_120) +# 2007 +# ---- +blue_date <- read_xls(path, sheet = "2007-08", range = "C6:AP6", col_names = FALSE) +blue_sw <- read_xls(path, sheet = "2007-08", range = "C7:AP7", col_names = FALSE) +blue_date <- t(blue_date) +blue_sw <- t(blue_sw) +blue <- data_frame(blue_date,blue_sw) +names(blue)[1] <- "date" +names(blue)[2] <- "sw_120" +blue_2007 <- blue %>% mutate(year = 2007, treatment = "Blue") %>% select(year, treatment, date, sw_120) +red_date <- read_xls(path, sheet = "2007-08", range = "C11:AC11", col_names = FALSE) +red_sw <- read_xls(path, sheet = "2007-08", range = "C12:AC12", col_names = FALSE) +red_date <- t(red_date) +red_sw <- t(red_sw) +red <- data_frame(red_date,red_sw) +names(red)[1] <- "date" +names(red)[2] <- "sw_120" +red_2007 <- red %>% mutate(year = 2007, treatment = "Red") %>% select(year, treatment, date, sw_120) +green_date <- read_xls(path, sheet = "2007-08", range = "C16:AB16", col_names = FALSE) +green_sw <- read_xls(path, sheet = "2007-08", range = "C17:AB17", col_names = FALSE) +green_date <- t(green_date) +green_sw <- t(green_sw) +green <- data_frame(green_date,green_sw) +names(green)[1] <- "date" +names(green)[2] <- "sw_120" +green_2007 <- green %>% mutate(year = 2007, treatment = "Green") %>% select(year, treatment, date, sw_120) +grey_date <- read_xls(path, sheet = "2007-08", range = "C21:Y21", col_names = FALSE) +grey_sw <- read_xls(path, sheet = "2007-08", range = "C22:Y22", col_names = FALSE) +grey_date <- t(grey_date) +grey_sw <- t(grey_sw) +grey <- data_frame(grey_date,grey_sw) +names(grey)[1] <- "date" +names(grey)[2] <- "sw_120" +grey_2007 <- grey %>% mutate(year = 2007, treatment = "Grey") %>% select(year, treatment, date, sw_120) +# 2008 +# ---- +blue_date <- read_xls(path, sheet = "2008-09", range = "C6:AP6", col_names = FALSE) +blue_sw <- read_xls(path, sheet = "2008-09", range = "C7:AP7", col_names = FALSE) +blue_date <- t(blue_date) +blue_sw <- t(blue_sw) +blue <- data_frame(blue_date,blue_sw) +names(blue)[1] <- "date" +names(blue)[2] <- "sw_120" +blue_2008 <- blue %>% mutate(year = 2008, treatment = "Blue") %>% select(year, treatment, date, sw_120) +red_date <- read_xls(path, sheet = "2008-09", range = "C11:AH11", col_names = FALSE) +red_sw <- read_xls(path, sheet = "2008-09", range = "C12:AH12", col_names = FALSE) +red_date <- t(red_date) +red_sw <- t(red_sw) +red <- data_frame(red_date,red_sw) +names(red)[1] <- "date" +names(red)[2] <- "sw_120" +red_2008 <- red %>% mutate(year = 2008, treatment = "Red") %>% select(year, treatment, date, sw_120) +green_date <- read_xls(path, sheet = "2008-09", range = "C16:AI16", col_names = FALSE) +green_sw <- read_xls(path, sheet = "2008-09", range = "C17:AI17", col_names = FALSE) +green_date <- t(green_date) +green_sw <- t(green_sw) +green <- data_frame(green_date,green_sw) +names(green)[1] <- "date" +names(green)[2] <- "sw_120" +green_2008 <- green %>% mutate(year = 2008, treatment = "Green") %>% select(year, treatment, date, sw_120) +grey_date <- read_xls(path, sheet = "2008-09", range = "C21:Z21", col_names = FALSE) +grey_sw <- read_xls(path, sheet = "2008-09", range = "C22:Z22", col_names = FALSE) +grey_date <- t(grey_date) +grey_sw <- t(grey_sw) +grey <- data_frame(grey_date,grey_sw) +names(grey)[1] <- "date" +names(grey)[2] <- "sw_120" +grey_2008 <- grey %>% mutate(year = 2008, treatment = "Grey") %>% select(year, treatment, date, sw_120) +# Combine years +# ------------- +blue <- bind_rows(blue_2006, blue_2007, blue_2008) +red <- bind_rows(red_2006, red_2007, red_2008) +green <- bind_rows(green_2006, green_2007, green_2008) +grey <- bind_rows(grey_2006, grey_2007, grey_2008) +soilwater <- bind_rows(blue, red, green, grey) +#! /bin/bash +library(tidyverse) +library(readxl) +library(writexl) +library(lubridate) +dir_sourcedata <- file.path("C:","Users","ver078","Dropbox","CottonModel","OldData","Narrabri(Stephen)", "Soil Probe Data") +path <- file.path(dir_sourcedata, "ProbeReading Summary.xls") +#nb. the probes only went down to 120cm. So all the sw measurments are the cumulative sw down to 120cm +# WRITE TO SPREADSHEET +# -------------------- +sheets <- list(Yield = yield, Plant = plant, SoilWater = soilwater) +write_xlsx(x = sheets, path = "./output/narrabri.xlsx") +#! /bin/bash +library(tidyverse) +library(readxl) +library(writexl) +library(lubridate) +dir_sourcedata <- file.path("C:","Users","ver078","Dropbox","CottonModel","OldData","Narrabri(Stephen)", "Soil Probe Data") +path <- file.path(dir_sourcedata, "ProbeReading Summary.xls") +#nb. the probes only went down to 120cm. So all the sw measurments are the cumulative sw down to 120cm +# 2006 +# ---- +blue_date <- read_xls(path, sheet = "2006-07", range = "C6:AJ6", col_names = FALSE) +blue_sw <- read_xls(path, sheet = "2006-07", range = "C7:AJ7", col_names = FALSE) +blue_date <- t(blue_date) +blue_sw <- t(blue_sw) +blue <- data_frame(blue_date,blue_sw) +names(blue)[1] <- "date" +names(blue)[2] <- "sw_120" +blue_2006 <- blue %>% mutate(year = 2006, treatment = "Blue") %>% select(year, treatment, date, sw_120) +red_date <- read_xls(path, sheet = "2006-07", range = "C11:AJ11", col_names = FALSE) +red_sw <- read_xls(path, sheet = "2006-07", range = "C12:AJ12", col_names = FALSE) +red_date <- t(red_date) +red_sw <- t(red_sw) +red <- data_frame(red_date,red_sw) +names(red)[1] <- "date" +names(red)[2] <- "sw_120" +red_2006 <- red %>% mutate(year = 2006, treatment = "Red") %>% select(year, treatment, date, sw_120) +green_date <- read_xls(path, sheet = "2006-07", range = "C16:AC16", col_names = FALSE) +green_sw <- read_xls(path, sheet = "2006-07", range = "C17:AC17", col_names = FALSE) +green_date <- t(green_date) +green_sw <- t(green_sw) +green <- data_frame(green_date,green_sw) +names(green)[1] <- "date" +names(green)[2] <- "sw_120" +green_2006 <- green %>% mutate(year = 2006, treatment = "Green") %>% select(year, treatment, date, sw_120) +grey_date <- read_xls(path, sheet = "2006-07", range = "C21:Z21", col_names = FALSE) +grey_sw <- read_xls(path, sheet = "2006-07", range = "C22:Z22", col_names = FALSE) +grey_date <- t(grey_date) +grey_sw <- t(grey_sw) +grey <- data_frame(grey_date,grey_sw) +names(grey)[1] <- "date" +names(grey)[2] <- "sw_120" +grey_2006 <- grey %>% mutate(year = 2006, treatment = "Grey") %>% select(year, treatment, date, sw_120) +# 2007 +# ---- +blue_date <- read_xls(path, sheet = "2007-08", range = "C6:AP6", col_names = FALSE) +blue_sw <- read_xls(path, sheet = "2007-08", range = "C7:AP7", col_names = FALSE) +blue_date <- t(blue_date) +blue_sw <- t(blue_sw) +blue <- data_frame(blue_date,blue_sw) +names(blue)[1] <- "date" +names(blue)[2] <- "sw_120" +blue_2007 <- blue %>% mutate(year = 2007, treatment = "Blue") %>% select(year, treatment, date, sw_120) +red_date <- read_xls(path, sheet = "2007-08", range = "C11:AC11", col_names = FALSE) +red_sw <- read_xls(path, sheet = "2007-08", range = "C12:AC12", col_names = FALSE) +red_date <- t(red_date) +red_sw <- t(red_sw) +red <- data_frame(red_date,red_sw) +names(red)[1] <- "date" +names(red)[2] <- "sw_120" +red_2007 <- red %>% mutate(year = 2007, treatment = "Red") %>% select(year, treatment, date, sw_120) +green_date <- read_xls(path, sheet = "2007-08", range = "C16:AB16", col_names = FALSE) +green_sw <- read_xls(path, sheet = "2007-08", range = "C17:AB17", col_names = FALSE) +green_date <- t(green_date) +green_sw <- t(green_sw) +green <- data_frame(green_date,green_sw) +names(green)[1] <- "date" +names(green)[2] <- "sw_120" +green_2007 <- green %>% mutate(year = 2007, treatment = "Green") %>% select(year, treatment, date, sw_120) +grey_date <- read_xls(path, sheet = "2007-08", range = "C21:Y21", col_names = FALSE) +grey_sw <- read_xls(path, sheet = "2007-08", range = "C22:Y22", col_names = FALSE) +grey_date <- t(grey_date) +grey_sw <- t(grey_sw) +grey <- data_frame(grey_date,grey_sw) +names(grey)[1] <- "date" +names(grey)[2] <- "sw_120" +grey_2007 <- grey %>% mutate(year = 2007, treatment = "Grey") %>% select(year, treatment, date, sw_120) +# 2008 +# ---- +blue_date <- read_xls(path, sheet = "2008-09", range = "C6:AP6", col_names = FALSE) +blue_sw <- read_xls(path, sheet = "2008-09", range = "C7:AP7", col_names = FALSE) +blue_date <- t(blue_date) +blue_sw <- t(blue_sw) +blue <- data_frame(blue_date,blue_sw) +names(blue)[1] <- "date" +names(blue)[2] <- "sw_120" +blue_2008 <- blue %>% mutate(year = 2008, treatment = "Blue") %>% select(year, treatment, date, sw_120) +red_date <- read_xls(path, sheet = "2008-09", range = "C11:AH11", col_names = FALSE) +red_sw <- read_xls(path, sheet = "2008-09", range = "C12:AH12", col_names = FALSE) +red_date <- t(red_date) +red_sw <- t(red_sw) +red <- data_frame(red_date,red_sw) +names(red)[1] <- "date" +names(red)[2] <- "sw_120" +red_2008 <- red %>% mutate(year = 2008, treatment = "Red") %>% select(year, treatment, date, sw_120) +green_date <- read_xls(path, sheet = "2008-09", range = "C16:AI16", col_names = FALSE) +green_sw <- read_xls(path, sheet = "2008-09", range = "C17:AI17", col_names = FALSE) +green_date <- t(green_date) +green_sw <- t(green_sw) +green <- data_frame(green_date,green_sw) +names(green)[1] <- "date" +names(green)[2] <- "sw_120" +green_2008 <- green %>% mutate(year = 2008, treatment = "Green") %>% select(year, treatment, date, sw_120) +grey_date <- read_xls(path, sheet = "2008-09", range = "C21:Z21", col_names = FALSE) +grey_sw <- read_xls(path, sheet = "2008-09", range = "C22:Z22", col_names = FALSE) +grey_date <- t(grey_date) +grey_sw <- t(grey_sw) +grey <- data_frame(grey_date,grey_sw) +names(grey)[1] <- "date" +names(grey)[2] <- "sw_120" +grey_2008 <- grey %>% mutate(year = 2008, treatment = "Grey") %>% select(year, treatment, date, sw_120) +# Combine years +# ------------- +blue <- bind_rows(blue_2006, blue_2007, blue_2008) +red <- bind_rows(red_2006, red_2007, red_2008) +green <- bind_rows(green_2006, green_2007, green_2008) +grey <- bind_rows(grey_2006, grey_2007, grey_2008) +soilwater <- bind_rows(blue, red, green, grey) +#! /bin/bash +library(tidyverse) +library(readxl) +library(writexl) +library(lubridate) +dir_sourcedata <- file.path("C:","Users","ver078","Dropbox","CottonModel","OldData","Narrabri(Stephen)", "Soil Probe Data") +path <- file.path(dir_sourcedata, "ProbeReading Summary.xls") +#nb. the probes only went down to 120cm. So all the sw measurments are the cumulative sw down to 120cm +# WRITE TO SPREADSHEET +# -------------------- +sheets <- list(Yield = yield, Plant = plant, SoilWater = soilwater) +write_xlsx(x = sheets, path = "./output/narrabri.xlsx") +help("write_xlsx") +help("write_xlsx") +#! /bin/bash +library(tidyverse) +library(readxl) +library(writexl) +library(lubridate) +dir_sourcedata <- file.path("C:","Users","ver078","Dropbox","CottonModel","OldData","Narrabri(Stephen)") +path <- file.path(dir_sourcedata, "Deficit Trials - Output Summary.xls") +# Get Input Data from Spreadsheet +# ------------------------------- +lai_2006 <- read_xls(path, sheet = "Actuals 0607", range = "D4:K8") +bolls_2006 <- read_xls(path, sheet = "Actuals 0607", range = "D12:K16") #actually "fruit count" but I interperate this as boll no. +yield_2006 <- read_xls(path, sheet = "Actuals 0607", range = "D27:E31") +sites_2006 <- read_xls(path, sheet = "Actuals 0607", range = "P4:T8") +lai_2007 <- read_xls(path, sheet = "Actuals 0708", range = "D4:K8") +bolls_2007 <- read_xls(path, sheet = "Actuals 0708", range = "D12:K16") +squares_2007 <- read_xls(path, sheet = "Actuals 0708", range = "D20:K24") +yield_2007 <- read_xls(path, sheet = "Actuals 0708", range = "D27:E31") +sites_2007 <- read_xls(path, sheet = "Actuals 0708", range = "P4:U8") +lai_2008 <- read_xls(path, sheet = "Actuals 0809", range = "D4:K8") +bolls_2008 <- read_xls(path, sheet = "Actuals 0809", range = "D12:K16") +squares_2008 <- read_xls(path, sheet = "Actuals 0809", range = "D20:K24") +yield_2008 <- read_xls(path, sheet = "Actuals 0809", range = "D27:G31") +sites_2008 <- read_xls(path, sheet = "Actuals 0809", range = "P4:U8") +greenbolls_2008 <- read_xls(path, sheet = "Actuals 0809", range = "O12:U16") +openbolls_2008 <- read_xls(path, sheet = "Actuals 0809", range = "O20:U25") +maturity_2008 <- read_xls(path, sheet = "Actuals 0809", range = "P28:Q33") +# Clean up the input data +# ----------------------- +lai_2006 <- lai_2006 %>% select(-2,-3) +lai_2007 <- lai_2007 %>% select(-2,-3) +lai_2008 <- lai_2008 %>% select(-2,-3) +bolls_2006 <- bolls_2006 %>% select(-2,-3) +bolls_2007 <- bolls_2007 %>% select(-2,-3) +bolls_2008 <- bolls_2008 %>% select(-2,-3) +squares_2007 <- squares_2007 %>% select(-2,-3) +squares_2008 <- squares_2008 %>% select(-2,-3) +greenbolls_2008 <- greenbolls_2008 %>% select(-2) +openbolls_2008 <- openbolls_2008 %>% select(-2) +# Munge the Data +# -------------- +# 2006 +# ---- +lai_2006 <- lai_2006 %>% pivot_longer(cols = c("71","86","104","126","161"), names_to = "das", values_to = "lai") +lai_2006 <- lai_2006 %>% pivot_longer(cols = lai, names_to = "variable", values_to = "values") +bolls_2006 <- bolls_2006 %>% pivot_longer(cols = c("71","86","104","126","161"), names_to = "das", values_to = "bolls") +bolls_2006 <- bolls_2006 %>% pivot_longer(cols = bolls, names_to = "variable", values_to = "values") +sites_2006 <- sites_2006 %>% pivot_longer(cols = c("71","86","104","126"), names_to = "das", values_to = "sites") +sites_2006 <- sites_2006 %>% pivot_longer(cols = sites, names_to = "variable", values_to = "values") +plant_2006 <- bind_rows(lai_2006, sites_2006, bolls_2006) +plant_2006 <- plant_2006 %>% pivot_wider(names_from = variable, values_from = values) +plant_2006 <- plant_2006 %>% mutate(year = 2006) %>% select(year, das, Treatment, everything()) +yield_2006 <- yield_2006 %>% mutate(year = 2006) %>% select(year, Treatment, everything()) +# 2007 +# ---- +lai_2007 <- lai_2007 %>% pivot_longer(cols = c("79","92","115","135","170"), names_to = "das", values_to = "lai") +lai_2007 <- lai_2007 %>% pivot_longer(cols = lai, names_to = "variable", values_to = "values") +bolls_2007 <- bolls_2007 %>% pivot_longer(cols = c("79","92","115","135","170"), names_to = "das", values_to = "bolls") +bolls_2007 <- bolls_2007 %>% pivot_longer(cols = bolls, names_to = "variable", values_to = "values") +squares_2007 <- squares_2007 %>% pivot_longer(cols = c("79","92","115","135","170"), names_to = "das", values_to = "squares") +squares_2007 <- squares_2007 %>% pivot_longer(cols = squares, names_to = "variable", values_to = "values") +sites_2007 <- sites_2007 %>% pivot_longer(cols = c("79","92","115","135","170"), names_to = "das", values_to = "sites") +sites_2007 <- sites_2007 %>% pivot_longer(cols = sites, names_to = "variable", values_to = "values") +plant_2007 <- bind_rows(lai_2007, sites_2007, squares_2007, bolls_2007) +plant_2007 <- plant_2007 %>% pivot_wider(names_from = variable, values_from = values) +plant_2007 <- plant_2007 %>% mutate(year = 2007) %>% select(year, das, Treatment, everything()) +yield_2007 <- yield_2007 %>% mutate(year = 2007) %>% select(year, Treatment, everything()) +# 2008 +# ---- +lai_2008 <- lai_2008 %>% pivot_longer(cols = c("76","90","116","137","165"), names_to = "das", values_to = "lai") +lai_2008 <- lai_2008 %>% pivot_longer(cols = lai, names_to = "variable", values_to = "values") +bolls_2008 <- bolls_2008 %>% pivot_longer(cols = c("76","90","116","137","165"), names_to = "das", values_to = "bolls") +bolls_2008 <- bolls_2008 %>% pivot_longer(cols = bolls, names_to = "variable", values_to = "values") +squares_2008 <- squares_2008 %>% pivot_longer(cols = c("76","90","116","137","165"), names_to = "das", values_to = "squares") +squares_2008 <- squares_2008 %>% pivot_longer(cols = squares, names_to = "variable", values_to = "values") +sites_2008 <- sites_2008 %>% pivot_longer(cols = c("76","90","116","137","165"), names_to = "das", values_to = "sites") +sites_2008 <- sites_2008 %>% pivot_longer(cols = sites, names_to = "variable", values_to = "values") +greenbolls_2008 <- greenbolls_2008 %>% pivot_longer(cols = c("76","90","116","137","165"), names_to = "das", values_to = "greenbolls") +greenbolls_2008 <- greenbolls_2008 %>% pivot_longer(cols = greenbolls, names_to = "variable", values_to = "values") +openbolls_2008 <- openbolls_2008 %>% pivot_longer(cols = c("76","90","116","137","165"), names_to = "das", values_to = "openbolls") +openbolls_2008 <- openbolls_2008 %>% pivot_longer(cols = openbolls, names_to = "variable", values_to = "values") +plant_2008 <- bind_rows(lai_2008, sites_2008, squares_2008, bolls_2008, greenbolls_2008, openbolls_2008) +plant_2008 <- plant_2008 %>% pivot_wider(names_from = variable, values_from = values) +plant_2008 <- plant_2008 %>% mutate(year = 2008) %>% select(year, das, Treatment, everything()) +yield_2008 <- yield_2008 %>% mutate(year = 2008) %>% select(year, Treatment, everything()) +# Combined +# -------- +plant <- bind_rows(plant_2006, plant_2007, plant_2008) +yield <- bind_rows(yield_2006, yield_2007, yield_2008) +#! /bin/bash +library(tidyverse) +library(readxl) +library(writexl) +library(lubridate) +dir_sourcedata <- file.path("C:","Users","ver078","Dropbox","CottonModel","OldData","Narrabri(Stephen)", "Soil Probe Data") +path <- file.path(dir_sourcedata, "ProbeReading Summary.xls") +#nb. the probes only went down to 120cm. So all the sw measurments are the cumulative sw down to 120cm +# 2006 +# ---- +blue_date <- read_xls(path, sheet = "2006-07", range = "C6:AJ6", col_names = FALSE) +blue_sw <- read_xls(path, sheet = "2006-07", range = "C7:AJ7", col_names = FALSE) +blue_date <- t(blue_date) +blue_sw <- t(blue_sw) +blue <- data_frame(blue_date,blue_sw) +names(blue)[1] <- "date" +names(blue)[2] <- "sw_120" +blue_2006 <- blue %>% mutate(year = 2006, treatment = "Blue") %>% select(year, treatment, date, sw_120) +red_date <- read_xls(path, sheet = "2006-07", range = "C11:AJ11", col_names = FALSE) +red_sw <- read_xls(path, sheet = "2006-07", range = "C12:AJ12", col_names = FALSE) +red_date <- t(red_date) +red_sw <- t(red_sw) +red <- data_frame(red_date,red_sw) +names(red)[1] <- "date" +names(red)[2] <- "sw_120" +red_2006 <- red %>% mutate(year = 2006, treatment = "Red") %>% select(year, treatment, date, sw_120) +green_date <- read_xls(path, sheet = "2006-07", range = "C16:AC16", col_names = FALSE) +green_sw <- read_xls(path, sheet = "2006-07", range = "C17:AC17", col_names = FALSE) +green_date <- t(green_date) +green_sw <- t(green_sw) +green <- data_frame(green_date,green_sw) +names(green)[1] <- "date" +names(green)[2] <- "sw_120" +green_2006 <- green %>% mutate(year = 2006, treatment = "Green") %>% select(year, treatment, date, sw_120) +grey_date <- read_xls(path, sheet = "2006-07", range = "C21:Z21", col_names = FALSE) +grey_sw <- read_xls(path, sheet = "2006-07", range = "C22:Z22", col_names = FALSE) +grey_date <- t(grey_date) +grey_sw <- t(grey_sw) +grey <- data_frame(grey_date,grey_sw) +names(grey)[1] <- "date" +names(grey)[2] <- "sw_120" +grey_2006 <- grey %>% mutate(year = 2006, treatment = "Grey") %>% select(year, treatment, date, sw_120) +# 2007 +# ---- +blue_date <- read_xls(path, sheet = "2007-08", range = "C6:AP6", col_names = FALSE) +blue_sw <- read_xls(path, sheet = "2007-08", range = "C7:AP7", col_names = FALSE) +blue_date <- t(blue_date) +blue_sw <- t(blue_sw) +blue <- data_frame(blue_date,blue_sw) +names(blue)[1] <- "date" +names(blue)[2] <- "sw_120" +blue_2007 <- blue %>% mutate(year = 2007, treatment = "Blue") %>% select(year, treatment, date, sw_120) +red_date <- read_xls(path, sheet = "2007-08", range = "C11:AC11", col_names = FALSE) +red_sw <- read_xls(path, sheet = "2007-08", range = "C12:AC12", col_names = FALSE) +red_date <- t(red_date) +red_sw <- t(red_sw) +red <- data_frame(red_date,red_sw) +names(red)[1] <- "date" +names(red)[2] <- "sw_120" +red_2007 <- red %>% mutate(year = 2007, treatment = "Red") %>% select(year, treatment, date, sw_120) +green_date <- read_xls(path, sheet = "2007-08", range = "C16:AB16", col_names = FALSE) +green_sw <- read_xls(path, sheet = "2007-08", range = "C17:AB17", col_names = FALSE) +green_date <- t(green_date) +green_sw <- t(green_sw) +green <- data_frame(green_date,green_sw) +names(green)[1] <- "date" +names(green)[2] <- "sw_120" +green_2007 <- green %>% mutate(year = 2007, treatment = "Green") %>% select(year, treatment, date, sw_120) +grey_date <- read_xls(path, sheet = "2007-08", range = "C21:Y21", col_names = FALSE) +grey_sw <- read_xls(path, sheet = "2007-08", range = "C22:Y22", col_names = FALSE) +grey_date <- t(grey_date) +grey_sw <- t(grey_sw) +grey <- data_frame(grey_date,grey_sw) +names(grey)[1] <- "date" +names(grey)[2] <- "sw_120" +grey_2007 <- grey %>% mutate(year = 2007, treatment = "Grey") %>% select(year, treatment, date, sw_120) +# 2008 +# ---- +blue_date <- read_xls(path, sheet = "2008-09", range = "C6:AP6", col_names = FALSE) +blue_sw <- read_xls(path, sheet = "2008-09", range = "C7:AP7", col_names = FALSE) +blue_date <- t(blue_date) +blue_sw <- t(blue_sw) +blue <- data_frame(blue_date,blue_sw) +names(blue)[1] <- "date" +names(blue)[2] <- "sw_120" +blue_2008 <- blue %>% mutate(year = 2008, treatment = "Blue") %>% select(year, treatment, date, sw_120) +red_date <- read_xls(path, sheet = "2008-09", range = "C11:AH11", col_names = FALSE) +red_sw <- read_xls(path, sheet = "2008-09", range = "C12:AH12", col_names = FALSE) +red_date <- t(red_date) +red_sw <- t(red_sw) +red <- data_frame(red_date,red_sw) +names(red)[1] <- "date" +names(red)[2] <- "sw_120" +red_2008 <- red %>% mutate(year = 2008, treatment = "Red") %>% select(year, treatment, date, sw_120) +green_date <- read_xls(path, sheet = "2008-09", range = "C16:AI16", col_names = FALSE) +green_sw <- read_xls(path, sheet = "2008-09", range = "C17:AI17", col_names = FALSE) +green_date <- t(green_date) +green_sw <- t(green_sw) +green <- data_frame(green_date,green_sw) +names(green)[1] <- "date" +names(green)[2] <- "sw_120" +green_2008 <- green %>% mutate(year = 2008, treatment = "Green") %>% select(year, treatment, date, sw_120) +grey_date <- read_xls(path, sheet = "2008-09", range = "C21:Z21", col_names = FALSE) +grey_sw <- read_xls(path, sheet = "2008-09", range = "C22:Z22", col_names = FALSE) +grey_date <- t(grey_date) +grey_sw <- t(grey_sw) +grey <- data_frame(grey_date,grey_sw) +names(grey)[1] <- "date" +names(grey)[2] <- "sw_120" +grey_2008 <- grey %>% mutate(year = 2008, treatment = "Grey") %>% select(year, treatment, date, sw_120) +# Combine years +# ------------- +blue <- bind_rows(blue_2006, blue_2007, blue_2008) +red <- bind_rows(red_2006, red_2007, red_2008) +green <- bind_rows(green_2006, green_2007, green_2008) +grey <- bind_rows(grey_2006, grey_2007, grey_2008) +soilwater <- bind_rows(blue, red, green, grey) +#! /bin/bash +library(tidyverse) +library(readxl) +library(writexl) +library(lubridate) +dir_sourcedata <- file.path("C:","Users","ver078","Dropbox","CottonModel","OldData","Narrabri(Stephen)", "Soil Probe Data") +path <- file.path(dir_sourcedata, "ProbeReading Summary.xls") +#nb. the probes only went down to 120cm. 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  • qI?uhJYoyQ_8I@u*H5aUb>4Cn* zYmVXGQW))T=mc6#M6=B1Z#hL9%QdX{A+DTAkNCu^mc6uk+DjiQVFvFGK{}P z0_L40uvrOnU3|77+BzIRI+Ba^I93*1Nq)_Ry!z{7OlAk_Z5K~WR5-7+lCtF01Nu#$ z*cH;E2z#|4G^O5a*H?ZYdxcBq7H+1YZi{Gfm~R7*p&bxrJsk4xHckuJCY_!gMs&)g zeZjO8*uEmOapvg0a$kgqBo4&{F*7fUQlsf5G z;ZNQ)bNb>S26n~QBgGn&s6vqJ!*~6~%R^(=k*J~mk13A7WI3NjkfVM;9&elRrgfJ$QW8*m-{fX*IukUwR&ic172(l^+#>KmQCx z2|G;P-*pk4r2y0#Sq6AO7oz>D3{z(VJxOlYiO=6MI$5KyB~f%%eLLj2`ypf6h+V!=5B*38+po zyVm0bcIP-47ZG5@c7-=7_l^3P1?dGW%xW?`5n=cZl9fw@d2Z|Xc1iNgD+GvIKgzaQZZ}^ z`orqTibmlKIj}(*D_j6M^nlI`kijOfb+gg)aC7$*wsG^YI~BK08US>`DI?Z{NRdr~ z<9r=7=<|@C;!q_EQ;%yn?yI%I&p+JuKj7E-!Z~LEFMW07<8x19wpeKI;muTtb2@GVZu$TCDqiPf?7zx5`zTXX{xbf{l zg76H1&R$QXVuJ_&^=(@2a(k%P`dg;>pjrDPmp7eI>S(RPUH~1)6kTtK^C*4En$`qZ7+?aF-(z|qa{hb99)wFb1sDgWuyNAB*YE=}%p1!7Kh z=ZG});AM;f^;1Pr-VE9Yn~z#`!YaZpNuZ+i@2Oo+FC0hCN%P$++k3~lIA`NlQB|DDTB-q8ld{(^z~tOA<- zTE^>obW4RH%VpP5Z&vI4Yb1|AdldmQ2yp9-vdS1gDdI-jR_(PLsf$IicJ zs#iyHlv&=Y|Dj}F^;zV3JM6J$oh04(HI)@8DfZlhp8^yp2&e^32Sp2)s@TE?Yq~a=Au{T-C`>;JhHTm zgkB#$L{W^&5pZOJ18qZ;n=XUNmW$V?z(BKsi; z233p+JO4BjfTwM!on)+Cd8qbq(BA*{yPLO15rId{`@(u!=YRnC|6kz%>>>fMqkn(> z%L^UO0-Svn0e?8Jj;SAf|ssITf`zi*oiP@(&7?;eS#7b4q!3^4ZgzKaL1hpPA+;{7m4sA P$bj!&fH7^4@PGXu+sey= literal 0 HcmV?d00001 diff --git a/Prototypes/Cotton/munge-experiment-data/scripts/ayr/ayr.r b/Prototypes/Cotton/munge-experiment-data/scripts/ayr/ayr.r index 0d3850f431..d80036fc84 100644 --- a/Prototypes/Cotton/munge-experiment-data/scripts/ayr/ayr.r +++ b/Prototypes/Cotton/munge-experiment-data/scripts/ayr/ayr.r @@ -57,7 +57,7 @@ bolls <- bind_rows(bolls_2009, bolls_2010, bolls_2011, bolls_2012) #nb. 2008 dat # WRITE TO SPREADSHEET # -------------------- -sheets <- list(Phenology = phenology, Harvest = harvest, Plant = plant, Light = light_interception, Nodes = nodes_over_time, Bolls = bolls) +sheets <- list(Ayr_Phenology = phenology, Ayr_Harvest = harvest, Ayr_Plant = plant, Ayr_Light = light_interception, Ayr_Nodes = nodes_over_time, Ayr_Bolls = bolls) write_xlsx(x = sheets, path = "./output/ayr.xlsx") diff --git a/Prototypes/Cotton/munge-experiment-data/scripts/emerald/emerald.r b/Prototypes/Cotton/munge-experiment-data/scripts/emerald/emerald.r index 42b69ccd5b..c20d193c84 100644 --- a/Prototypes/Cotton/munge-experiment-data/scripts/emerald/emerald.r +++ b/Prototypes/Cotton/munge-experiment-data/scripts/emerald/emerald.r @@ -48,7 +48,7 @@ soilwater <- soilwater %>% select(Clock.Today, SimulationName, everything()) # WRITE TO SPREADSHEET # -------------------- -sheets <- list(Phenology = phenology, Yield = yield, Fruit = fruit, SoilWater = soilwater) +sheets <- list(Emerald_Phenology = phenology, Emerald_Yield = yield, Emerald_Fruit = fruit, Emerald_SoilWater = soilwater) write_xlsx(x = sheets, path = "./output/emerald.xlsx") diff --git a/Prototypes/Cotton/munge-experiment-data/scripts/narrabri/narrabri.r b/Prototypes/Cotton/munge-experiment-data/scripts/narrabri/narrabri.r new file mode 100644 index 0000000000..831bfd00e5 --- /dev/null +++ b/Prototypes/Cotton/munge-experiment-data/scripts/narrabri/narrabri.r @@ -0,0 +1,51 @@ +#! /bin/bash + + +library(tidyverse) + +library(readxl) +library(writexl) + +library(lubridate) + + +dir_sourcedata <- file.path("C:","Users","ver078","Dropbox","CottonModel","OldData","Narrabri(Stephen)", "Soil Probe Data") +path <- file.path(dir_sourcedata, "ProbeReading Summary.xls") + + +#nb. the probes only went down to 120cm. So all the sw measurments are the cumulative sw down to 120cm + + + + + +# ADD SimulationName Column and Clock.Today column +# ------------------------------------------------ +# nb. this is needed to do predicted vs observed in ApsimX + +yield <- yield %>% mutate("Clock.Today" = format(date, "%d/%m/%Y")) +yield <- yield %>% mutate(SimulationName = paste("Narrabri_", year, "Sow", Treatment, sep = "")) +yield <- yield %>% select(Clock.Today, SimulationName, everything()) + +plant <- plant %>% mutate("Clock.Today" = format(date, "%d/%m/%Y")) +plant <- plant %>% mutate(SimulationName = paste("Narrabri_", year, "Sow", Treatment, sep = "")) +plant <- plant %>% select(Clock.Today, SimulationName, everything()) + +soilwater <- soilwater %>% mutate("Clock.Today" = format(date, "%d/%m/%Y")) +soilwater <- soilwater %>% mutate(SimulationName = paste("Narrabri_", year, "Sow", treatment, sep = "")) +soilwater <- soilwater %>% select(Clock.Today, SimulationName, everything()) + + + + + + + + +# WRITE TO SPREADSHEET +# -------------------- + +sheets <- list(Narrabri_Yield = yield, Narrabri_Plant = plant, Narrabri_SoilWater = soilwater) +write_xlsx(x = sheets, path = "./output/narrabri.xlsx") + + diff --git a/Prototypes/Cotton/munge-experiment-data/scripts/narrabri/narrabri_actuals.r b/Prototypes/Cotton/munge-experiment-data/scripts/narrabri/narrabri_actuals.r index bf592ae20e..fc664a90c4 100644 --- a/Prototypes/Cotton/munge-experiment-data/scripts/narrabri/narrabri_actuals.r +++ b/Prototypes/Cotton/munge-experiment-data/scripts/narrabri/narrabri_actuals.r @@ -78,8 +78,10 @@ sites_2006 <- sites_2006 %>% pivot_longer(cols = sites, names_to = "variable", v plant_2006 <- bind_rows(lai_2006, sites_2006, bolls_2006) plant_2006 <- plant_2006 %>% pivot_wider(names_from = variable, values_from = values) -plant_2006 <- plant_2006 %>% mutate(year = 2006) %>% select(year, das, Treatment, everything()) +plant_2006 <- plant_2006 %>% mutate(date = dmy("10/10/2006") + days(das)) +plant_2006 <- plant_2006 %>% mutate(year = 2006) %>% select(year, Treatment, date, das, everything()) +yield_2006 <- yield_2006 %>% mutate(date = dmy("10/10/2006") + days(163)) # I have no idea what the harvest date was so I used das=163 because last value in long table in "Actuals 0607" worksheet yield_2006 <- yield_2006 %>% mutate(year = 2006) %>% select(year, Treatment, everything()) @@ -97,11 +99,15 @@ sites_2007 <- sites_2007 %>% pivot_longer(cols = sites, names_to = "variable", v plant_2007 <- bind_rows(lai_2007, sites_2007, squares_2007, bolls_2007) plant_2007 <- plant_2007 %>% pivot_wider(names_from = variable, values_from = values) -plant_2007 <- plant_2007 %>% mutate(year = 2007) %>% select(year, das, Treatment, everything()) +plant_2007 <- plant_2007 %>% mutate(date = dmy("15/10/2007") + days(das)) +plant_2007 <- plant_2007 %>% mutate(year = 2007) %>% select(year, Treatment, date, das, everything()) + +yield_2007 <- yield_2007 %>% mutate(date = dmy("15/10/2007") + days(218)) # I have no idea what the harvest date was so I used das=218 because last value in long table in "Actuals 0607" worksheet yield_2007 <- yield_2007 %>% mutate(year = 2007) %>% select(year, Treatment, everything()) + # 2008 # ---- @@ -120,8 +126,10 @@ openbolls_2008 <- openbolls_2008 %>% pivot_longer(cols = openbolls, names_to = " plant_2008 <- bind_rows(lai_2008, sites_2008, squares_2008, bolls_2008, greenbolls_2008, openbolls_2008) plant_2008 <- plant_2008 %>% pivot_wider(names_from = variable, values_from = values) -plant_2008 <- plant_2008 %>% mutate(year = 2008) %>% select(year, das, Treatment, everything()) +plant_2008 <- plant_2008 %>% mutate(date = dmy("15/10/2008") + days(das)) +plant_2008 <- plant_2008 %>% mutate(year = 2008) %>% select(year, Treatment, date, das, everything()) +yield_2008 <- yield_2008 %>% mutate(date = dmy("15/10/2008") + days(218)) # I have no idea what the harvest date was so I used das=218 because last value in long table in "Actuals 0607" worksheet yield_2008 <- yield_2008 %>% mutate(year = 2008) %>% select(year, Treatment, everything()) @@ -134,3 +142,5 @@ yield <- bind_rows(yield_2006, yield_2007, yield_2008) + + diff --git a/Prototypes/Cotton/munge-experiment-data/scripts/narrabri/narrabri_soilprobe.r b/Prototypes/Cotton/munge-experiment-data/scripts/narrabri/narrabri_soilprobe.r new file mode 100644 index 0000000000..4921b347eb --- /dev/null +++ b/Prototypes/Cotton/munge-experiment-data/scripts/narrabri/narrabri_soilprobe.r @@ -0,0 +1,166 @@ +#! /bin/bash + + +library(tidyverse) + +library(readxl) +library(writexl) + +library(lubridate) + + +dir_sourcedata <- file.path("C:","Users","ver078","Dropbox","CottonModel","OldData","Narrabri(Stephen)", "Soil Probe Data") +path <- file.path(dir_sourcedata, "ProbeReading Summary.xls") + + +#nb. the probes only went down to 120cm. So all the sw measurments are the cumulative sw down to 120cm + + +# 2006 +# ---- + +blue_date <- read_xls(path, sheet = "2006-07", range = "C6:AJ6", col_names = FALSE) +blue_sw <- read_xls(path, sheet = "2006-07", range = "C7:AJ7", col_names = FALSE) +blue_date <- t(blue_date) %>% as.Date() +blue_sw <- t(blue_sw) +blue <- tibble(date = blue_date, sw_120 = blue_sw) +# names(blue)[1] <- "date" +# names(blue)[2] <- "sw_120" +blue_2006 <- blue %>% mutate(year = 2006, treatment = "Blue") %>% select(year, treatment, date, sw_120) + + +red_date <- read_xls(path, sheet = "2006-07", range = "C11:AJ11", col_names = FALSE) +red_sw <- read_xls(path, sheet = "2006-07", range = "C12:AJ12", col_names = FALSE) +red_date <- t(red_date) %>% as.Date() +red_sw <- t(red_sw) +red <- tibble(date = red_date, sw_120 = red_sw) +# names(red)[1] <- "date" +# names(red)[2] <- "sw_120" +red_2006 <- red %>% mutate(year = 2006, treatment = "Red") %>% select(year, treatment, date, sw_120) + + +green_date <- read_xls(path, sheet = "2006-07", range = "C16:AC16", col_names = FALSE) +green_sw <- read_xls(path, sheet = "2006-07", range = "C17:AC17", col_names = FALSE) +green_date <- t(green_date) %>% as.Date() +green_sw <- t(green_sw) +green <- tibble(date = green_date, sw_120 = green_sw) +# names(green)[1] <- "date" +# names(green)[2] <- "sw_120" +green_2006 <- green %>% mutate(year = 2006, treatment = "Green") %>% select(year, treatment, date, sw_120) + + +grey_date <- read_xls(path, sheet = "2006-07", range = "C21:Z21", col_names = FALSE) +grey_sw <- read_xls(path, sheet = "2006-07", range = "C22:Z22", col_names = FALSE) +grey_date <- t(grey_date) %>% as.Date() +grey_sw <- t(grey_sw) +grey <- tibble(date = grey_date, sw_120 = grey_sw) +# names(grey)[1] <- "date" +# names(grey)[2] <- "sw_120" +grey_2006 <- grey %>% mutate(year = 2006, treatment = "Grey") %>% select(year, treatment, date, sw_120) + + + + +# 2007 +# ---- + +blue_date <- read_xls(path, sheet = "2007-08", range = "C6:AP6", col_names = FALSE) +blue_sw <- read_xls(path, sheet = "2007-08", range = "C7:AP7", col_names = FALSE) +blue_date <- t(blue_date) %>% as.Date() +blue_sw <- t(blue_sw) +blue <- tibble(date = blue_date, sw_120 = blue_sw) +# names(blue)[1] <- "date" +# names(blue)[2] <- "sw_120" +blue_2007 <- blue %>% mutate(year = 2007, treatment = "Blue") %>% select(year, treatment, date, sw_120) + + +red_date <- read_xls(path, sheet = "2007-08", range = "C11:AC11", col_names = FALSE) +red_sw <- read_xls(path, sheet = "2007-08", range = "C12:AC12", col_names = FALSE) +red_date <- t(red_date) %>% as.Date() +red_sw <- t(red_sw) +red <- tibble(date = red_date, sw_120 = red_sw) +# names(red)[1] <- "date" +# names(red)[2] <- "sw_120" +red_2007 <- red %>% mutate(year = 2007, treatment = "Red") %>% select(year, treatment, date, sw_120) + + +green_date <- read_xls(path, sheet = "2007-08", range = "C16:AB16", col_names = FALSE) +green_sw <- read_xls(path, sheet = "2007-08", range = "C17:AB17", col_names = FALSE) +green_date <- t(green_date) %>% as.Date() +green_sw <- t(green_sw) +green <- tibble(date = green_date, sw_120 = green_sw) +# names(green)[1] <- "date" +# names(green)[2] <- "sw_120" +green_2007 <- green %>% mutate(year = 2007, treatment = "Green") %>% select(year, treatment, date, sw_120) + + +grey_date <- read_xls(path, sheet = "2007-08", range = "C21:Y21", col_names = FALSE) +grey_sw <- read_xls(path, sheet = "2007-08", range = "C22:Y22", col_names = FALSE) +grey_date <- t(grey_date) %>% as.Date() +grey_sw <- t(grey_sw) +grey <- tibble(date = grey_date, sw_120 = grey_sw) +# names(grey)[1] <- "date" +# names(grey)[2] <- "sw_120" +grey_2007 <- grey %>% mutate(year = 2007, treatment = "Grey") %>% select(year, treatment, date, sw_120) + + + + +# 2008 +# ---- + +blue_date <- read_xls(path, sheet = "2008-09", range = "C6:AP6", col_names = FALSE) +blue_sw <- read_xls(path, sheet = "2008-09", range = "C7:AP7", col_names = FALSE) +blue_date <- t(blue_date) %>% as.Date() +blue_sw <- t(blue_sw) +blue <- tibble(date = blue_date, sw_120 = blue_sw) +# names(blue)[1] <- "date" +# names(blue)[2] <- "sw_120" +blue_2008 <- blue %>% mutate(year = 2008, treatment = "Blue") %>% select(year, treatment, date, sw_120) + + +red_date <- read_xls(path, sheet = "2008-09", range = "C11:AH11", col_names = FALSE) +red_sw <- read_xls(path, sheet = "2008-09", range = "C12:AH12", col_names = FALSE) +red_date <- t(red_date) %>% as.Date() +red_sw <- t(red_sw) +red <- tibble(date = red_date, sw_120 = red_sw) +# names(red)[1] <- "date" +# names(red)[2] <- "sw_120" +red_2008 <- red %>% mutate(year = 2008, treatment = "Red") %>% select(year, treatment, date, sw_120) + + +green_date <- read_xls(path, sheet = "2008-09", range = "C16:AI16", col_names = FALSE) +green_sw <- read_xls(path, sheet = "2008-09", range = "C17:AI17", col_names = FALSE) +green_date <- t(green_date) %>% as.Date() +green_sw <- t(green_sw) +green <- tibble(date = green_date, sw_120 = green_sw) +# names(green)[1] <- "date" +# names(green)[2] <- "sw_120" +green_2008 <- green %>% mutate(year = 2008, treatment = "Green") %>% select(year, treatment, date, sw_120) + + +grey_date <- read_xls(path, sheet = "2008-09", range = "C21:Z21", col_names = FALSE) +grey_sw <- read_xls(path, sheet = "2008-09", range = "C22:Z22", col_names = FALSE) +grey_date <- t(grey_date) %>% as.Date() +grey_sw <- t(grey_sw) +grey <- tibble(date = grey_date, sw_120 = grey_sw) +# names(grey)[1] <- "date" +# names(grey)[2] <- "sw_120" +grey_2008 <- grey %>% mutate(year = 2008, treatment = "Grey") %>% select(year, treatment, date, sw_120) + + + +# Combine years +# ------------- + +blue <- bind_rows(blue_2006, blue_2007, blue_2008) +red <- bind_rows(red_2006, red_2007, red_2008) +green <- bind_rows(green_2006, green_2007, green_2008) +grey <- bind_rows(grey_2006, grey_2007, grey_2008) + +soilwater <- bind_rows(blue, red, green, grey) + + + + + diff --git a/Prototypes/Cotton/narrabri.xlsx b/Prototypes/Cotton/narrabri.xlsx new file mode 100644 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