diff --git a/DESCRIPTION b/DESCRIPTION index e73c1c2f9..3b21a6f7b 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -35,8 +35,7 @@ Imports: cowplot (>= 1.0.0), crayon (>= 1.3.4), dplyr (>= 0.8.3), - ellipsis (>= 0.2.0.1), - forcats, + forcats (>= 0.4.0), ggcorrplot (>= 0.1.3), ggExtra (>= 0.9), ggplot2 (>= 3.2.1), @@ -45,14 +44,12 @@ Imports: grid, groupedstats (>= 0.0.9), insight (>= 0.5.0), - magrittr, metaBMA (>= 0.6.1), metafor (>= 2.1-0), pairwiseComparisons (>= 0.1.0.9000), paletteer (>= 0.2.1), psych (>= 1.8.12), purrr (>= 0.3.2), - purrrlyr (>= 0.0.5), rlang (>= 0.4.0), scales (>= 1.0.0), sjstats (>= 0.17.5), @@ -83,4 +80,4 @@ Encoding: UTF-8 Language: en-US LazyData: true Roxygen: list(markdown = TRUE) -RoxygenNote: 6.1.1.9000 +RoxygenNote: 6.1.99.9000 diff --git a/NAMESPACE b/NAMESPACE index 87fca10d9..81f85a2f7 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -1,10 +1,10 @@ # Generated by roxygen2: do not edit by hand -export("%$%") -export("%<>%") -export("%>%") -export("%|%") -export("%||%") +export(`%$%`) +export(`%<>%`) +export(`%>%`) +export(`%|%`) +export(`%||%`) export(as_tibble) export(bartlett_message) export(bf_meta_message) @@ -42,6 +42,9 @@ export(theme_pie) export(tibble) import(ggplot2) importFrom(WRS2,pball) +importFrom(broomExtra,"%$%") +importFrom(broomExtra,"%<>%") +importFrom(broomExtra,"%>%") importFrom(broomExtra,augment) importFrom(broomExtra,glance) importFrom(broomExtra,tidy) @@ -82,7 +85,6 @@ importFrom(dplyr,starts_with) importFrom(dplyr,summarize) importFrom(dplyr,ungroup) importFrom(dplyr,vars) -importFrom(ellipsis,check_dots_used) importFrom(forcats,fct_reorder) importFrom(ggExtra,ggMarginal) importFrom(ggcorrplot,ggcorrplot) @@ -99,9 +101,6 @@ importFrom(groupedstats,signif_column) importFrom(groupedstats,specify_decimal_p) importFrom(insight,find_statistic) importFrom(insight,is_model) -importFrom(magrittr,"%$%") -importFrom(magrittr,"%<>%") -importFrom(magrittr,"%>%") importFrom(metaBMA,meta_random) importFrom(metafor,rma) importFrom(pairwiseComparisons,p_adjust_text) @@ -111,7 +110,7 @@ importFrom(paletteer,scale_color_paletteer_d) importFrom(paletteer,scale_fill_paletteer_d) importFrom(psych,corr.p) importFrom(psych,corr.test) -importFrom(purrr,"%||%") +importFrom(purrr,`%||%`) importFrom(purrr,compose) importFrom(purrr,discard) importFrom(purrr,flatten_dbl) @@ -121,12 +120,12 @@ importFrom(purrr,is_bare_numeric) importFrom(purrr,keep) importFrom(purrr,map) importFrom(purrr,pmap) -importFrom(purrrlyr,by_row) -importFrom(rlang,"!!!") -importFrom(rlang,"!!") importFrom(rlang,"%|%") importFrom(rlang,"%||%") -importFrom(rlang,":=") +importFrom(rlang,`!!!`) +importFrom(rlang,`!!`) +importFrom(rlang,`%||%`) +importFrom(rlang,`:=`) importFrom(rlang,as_name) importFrom(rlang,as_string) importFrom(rlang,enexpr) diff --git a/R/ggcoefstats.R b/R/ggcoefstats.R index 876cc4bea..52f70b9dd 100644 --- a/R/ggcoefstats.R +++ b/R/ggcoefstats.R @@ -158,7 +158,6 @@ #' @importFrom dplyr select bind_rows summarize mutate mutate_at mutate_if n #' @importFrom dplyr group_by arrange full_join vars matches desc everything #' @importFrom dplyr vars all_vars filter_at starts_with row_number -#' @importFrom purrrlyr by_row #' @importFrom stats as.formula lm confint qnorm p.adjust #' @importFrom ggrepel geom_label_repel #' @importFrom grid unit diff --git a/R/global_vars.R b/R/global_vars.R index 0ad445462..483b9bf78 100644 --- a/R/global_vars.R +++ b/R/global_vars.R @@ -203,7 +203,8 @@ utils::globalVariables( "main", "pair1", "W", - "Parameter" + "Parameter", + "p.value.formatted" ), package = "ggstatsplot", add = FALSE diff --git a/R/helpers_ggbetweenstats_graphics.R b/R/helpers_ggbetweenstats_graphics.R index 71848e58a..80b704c7a 100644 --- a/R/helpers_ggbetweenstats_graphics.R +++ b/R/helpers_ggbetweenstats_graphics.R @@ -108,8 +108,7 @@ mean_labeller <- function(data, #' @inheritParams ggrepel::geom_label_repel #' #' @importFrom ggrepel geom_label_repel -#' @importFrom rlang !! enquo -#' @importFrom ellipsis check_dots_used +#' @importFrom rlang !! enquo ensym #' #' @examples #' @@ -152,10 +151,6 @@ mean_ggrepel <- function(plot, mean.label.color = "black", inherit.aes = TRUE, ...) { - - # check any misspecified arguments - ellipsis::check_dots_used() - # highlight the mean of each group if (isTRUE(inherit.aes)) { plot <- plot + @@ -263,7 +258,6 @@ outlier_df <- function(data, x <- rlang::ensym(x) y <- rlang::ensym(y) outlier.label <- rlang::ensym(outlier.label) - ellipsis::check_dots_used() # add a logical column indicating whether a point is or is not an outlier data %<>% @@ -432,7 +426,6 @@ ggsignif_position_calculator <- function(x, y) { #' #' @importFrom forcats fct_reorder #' @importFrom dplyr mutate -#' @importFrom ellipsis check_dots_used #' #' @inheritParams ggbetweenstats #' @@ -450,7 +443,6 @@ sort_xy <- function(data, # make sure both quoted and unquoted arguments are allowed x <- rlang::ensym(x) y <- rlang::ensym(y) - ellipsis::check_dots_used() # decide the needed order if (sort == "ascending") { @@ -500,7 +492,6 @@ aesthetic_addon <- function(plot, direction = 1, ggplot.component = NULL, ...) { - ellipsis::check_dots_used() # if no. of factor levels is greater than the default palette color count palette_message( diff --git a/R/helpers_ggcatstats_graphics.R b/R/helpers_ggcatstats_graphics.R index 9c90f2ba8..1bcd2d3a4 100644 --- a/R/helpers_ggcatstats_graphics.R +++ b/R/helpers_ggcatstats_graphics.R @@ -126,24 +126,31 @@ df_facet_label <- function(data, x, y, k = 3L) { by = rlang::as_name(rlang::ensym(y)) ) %>% p_value_formatter(df = ., k = k) %>% - purrrlyr::by_row( - .d = ., - ..f = ~ paste( - "list(~chi['gof']^2~", - "(", - .$parameter, - ")==", - specify_decimal_p(x = .$statistic, k = k), - ", ~italic(p)", - .$p.value.formatted, - ")", - sep = " " - ), - .collate = "rows", - .to = "label", - .labels = TRUE + dplyr::mutate(.data = ., rowid = dplyr::row_number()) %>% + dplyr::group_nest(.tbl = ., rowid) %>% + dplyr::mutate( + .data = ., + label = data %>% + purrr::map( + .x = ., + .f = ~ paste( + "list(~chi['gof']^2~", + "(", + .$parameter, + ")==", + specify_decimal_p(x = .$statistic, k = k), + ", ~italic(p)", + .$p.value.formatted, + ")", + sep = " " + ), + .collate = "rows", + .to = "label", + .labels = TRUE + ) ) %>% - dplyr::select(.data = ., -dplyr::matches("p.value.formatted")) + tidyr::unnest(data = ., c(label, data)) %>% + dplyr::select(.data = ., -rowid, -dplyr::matches("p.value.formatted")) } } @@ -153,18 +160,23 @@ df_facet_label <- function(data, x, y, k = 3L) { p_value_formatter <- function(df, k = 3L) { df %>% - purrrlyr::by_row( - .d = ., - ..f = ~ specify_decimal_p(x = .$p.value, k = k, p.value = TRUE), - .collate = "rows", - .to = "p.value.formatted", - .labels = TRUE + dplyr::mutate(.data = ., rowid = dplyr::row_number()) %>% + dplyr::group_nest(.tbl = ., rowid) %>% + dplyr::mutate( + .data = ., + p.value.formatted = data %>% + purrr::map( + .x = ., + .f = ~ specify_decimal_p(x = .$p.value, k = k, p.value = TRUE) + ) ) %>% + tidyr::unnest(data = ., cols = c(p.value.formatted, data)) %>% dplyr::mutate( .data = ., p.value.formatted = dplyr::case_when( p.value.formatted == "< 0.001" ~ "<= 0.001", TRUE ~ paste("==", p.value.formatted, sep = " ") ) - ) + ) %>% + dplyr::select(.data = ., -rowid) } diff --git a/R/helpers_ggcoefstats_graphics.R b/R/helpers_ggcoefstats_graphics.R index 2bfd83e63..769795639 100644 --- a/R/helpers_ggcoefstats_graphics.R +++ b/R/helpers_ggcoefstats_graphics.R @@ -141,7 +141,8 @@ ggcoefstats_label_maker <- function(x, .funs = ~ specify_decimal_p(x = ., k = k) ) %>% signif_column(data = ., p = p.value) %>% - p_value_formatter(df = ., k = k) + p_value_formatter(df = ., k = k) %>% + dplyr::mutate(.data = ., rowid = dplyr::row_number()) #--------------------------- t-statistic ------------------------------------ @@ -163,68 +164,74 @@ ggcoefstats_label_maker <- function(x, # adding a new column with residual df tidy_df %<>% - purrrlyr::by_row( - .d = ., - ..f = ~ paste( - "list(~italic(beta)==", - specify_decimal_p(x = .$estimate, k = k), - ", ~italic(t)", - "(", - specify_decimal_p(x = .$df.residual, k = 0L), - ")==", - .$statistic, - ", ~italic(p)", - .$p.value.formatted, - ")", - sep = "" - ), - .collate = "rows", - .to = "label", - .labels = TRUE + dplyr::group_nest(.tbl = ., rowid) %>% + dplyr::mutate( + .data = ., + label = data %>% + purrr::map( + .x = ., + .f = ~ paste( + "list(~italic(beta)==", + specify_decimal_p(x = .$estimate, k = k), + ", ~italic(t)", + "(", + specify_decimal_p(x = .$df.residual, k = 0L), + ")==", + .$statistic, + ", ~italic(p)", + .$p.value.formatted, + ")", + sep = "" + ) + ) ) } else { # for objects like `rlm` there will be no parameter tidy_df %<>% - purrrlyr::by_row( - .d = ., - ..f = ~ paste( - "list(~italic(beta)==", - specify_decimal_p(x = .$estimate, k = k), - ", ~italic(t)", - "==", - .$statistic, - ", ~italic(p)", - .$p.value.formatted, - ")", - sep = "" - ), - .collate = "rows", - .to = "label", - .labels = TRUE + dplyr::group_nest(.tbl = ., rowid) %>% + dplyr::mutate( + .data = ., + label = data %>% + purrr::map( + .x = ., + .f = ~ paste( + "list(~italic(beta)==", + specify_decimal_p(x = .$estimate, k = k), + ", ~italic(t)", + "==", + .$statistic, + ", ~italic(p)", + .$p.value.formatted, + ")", + sep = "" + ) + ) ) } } #--------------------------- z-statistic --------------------------------- + # if the statistic is z-value if (statistic %in% c("z", "z.value", "z-value", "Z")) { - # if the statistic is z-value tidy_df %<>% - purrrlyr::by_row( - .d = ., - ..f = ~ paste( - "list(~italic(beta)==", - specify_decimal_p(x = .$estimate, k = k), - ", ~italic(z)==", - .$statistic, - ", ~italic(p)", - .$p.value.formatted, - ")", - sep = "" - ), - .collate = "rows", - .to = "label", - .labels = TRUE + dplyr::group_nest(.tbl = ., rowid) %>% + dplyr::mutate( + .data = ., + label = data %>% + purrr::map( + .x = ., + .f = ~ paste( + "list(~italic(beta)==", + specify_decimal_p(x = .$estimate, k = k), + ", ~italic(z)==", + .$statistic, + ", ~italic(p)", + .$p.value.formatted, + ")", + sep = "" + ) + ) ) } @@ -250,31 +257,38 @@ ggcoefstats_label_maker <- function(x, # which effect size is needed? tidy_df %<>% - purrrlyr::by_row( - .d = ., - ..f = ~ paste( - "list(~italic(F)", - "(", - .$df1, - "*\",\"*", - .$df2, - ")==", - .$statistic, - ", ~italic(p)", - .$p.value.formatted, - ", ~", - .$effsize.text, - "==", - specify_decimal_p(x = .$estimate, k = k), - ")", - sep = "" - ), - .collate = "rows", - .to = "label", - .labels = TRUE + dplyr::group_nest(.tbl = ., rowid) %>% + dplyr::mutate( + .data = ., + label = data %>% + purrr::map( + .x = ., + .f = ~ paste( + "list(~italic(F)", + "(", + .$df1, + "*\",\"*", + .$df2, + ")==", + .$statistic, + ", ~italic(p)", + .$p.value.formatted, + ", ~", + .$effsize.text, + "==", + specify_decimal_p(x = .$estimate, k = k), + ")", + sep = "" + ) + ) ) } + # unnest + tidy_df %<>% + tidyr::unnest(data = ., cols = c(label, data)) %>% + dplyr::select(.data = ., -rowid) + # return the final dataframe return(tibble::as_tibble(tidy_df)) } diff --git a/R/helpers_messages.R b/R/helpers_messages.R index 2ac8d97c5..3fbde963a 100644 --- a/R/helpers_messages.R +++ b/R/helpers_messages.R @@ -42,7 +42,6 @@ normality_message <- function(x, k = 2, output = "message", ...) { - ellipsis::check_dots_used() # if label is not provided, use generic "x" variable if (is.null(lab)) lab <- "x" @@ -121,7 +120,6 @@ bartlett_message <- function(data, # make sure both quoted and unquoted arguments are supported x <- rlang::ensym(x) y <- rlang::ensym(y) - ellipsis::check_dots_used() # if `lab` is not provided, use the variable `x` name if (is.null(lab)) lab <- rlang::as_name(x) diff --git a/R/reexports.R b/R/reexports.R index ef844a8b7..7dd7e1e3f 100644 --- a/R/reexports.R +++ b/R/reexports.R @@ -20,16 +20,16 @@ groupedstats::set_cwd # ----------------------- tidyverse ------------------------------------- #' @export -#' @importFrom magrittr "%>%" -magrittr::`%>%` +#' @importFrom broomExtra "%>%" +broomExtra::`%>%` #' @export -#' @importFrom magrittr "%<>%" -magrittr::`%<>%` +#' @importFrom broomExtra "%<>%" +broomExtra::`%<>%` #' @export -#' @importFrom magrittr "%$%" -magrittr::`%$%` +#' @importFrom broomExtra "%$%" +broomExtra::`%$%` #' @export #' @importFrom rlang "%||%" diff --git a/codemeta.json b/codemeta.json index c765dda6e..c23522fd6 100644 --- a/codemeta.json +++ b/codemeta.json @@ -279,23 +279,11 @@ }, "sameAs": "https://CRAN.R-project.org/package=dplyr" }, - { - "@type": "SoftwareApplication", - "identifier": "ellipsis", - "name": "ellipsis", - "version": ">= 0.2.0.1", - "provider": { - "@id": "https://cran.r-project.org", - "@type": "Organization", - "name": "Comprehensive R Archive Network (CRAN)", - "url": "https://cran.r-project.org" - }, - "sameAs": "https://CRAN.R-project.org/package=ellipsis" - }, { "@type": "SoftwareApplication", "identifier": "forcats", "name": "forcats", + "version": ">= 0.4.0", "provider": { "@id": "https://cran.r-project.org", "@type": "Organization", @@ -400,18 +388,6 @@ }, "sameAs": "https://CRAN.R-project.org/package=insight" }, - { - "@type": "SoftwareApplication", - "identifier": "magrittr", - "name": "magrittr", - "provider": { - "@id": "https://cran.r-project.org", - "@type": "Organization", - "name": "Comprehensive R Archive Network (CRAN)", - "url": "https://cran.r-project.org" - }, - "sameAs": "https://CRAN.R-project.org/package=magrittr" - }, { "@type": "SoftwareApplication", "identifier": "metaBMA", @@ -490,19 +466,6 @@ }, "sameAs": "https://CRAN.R-project.org/package=purrr" }, - { - "@type": "SoftwareApplication", - "identifier": "purrrlyr", - "name": "purrrlyr", - "version": ">= 0.0.5", - "provider": { - "@id": "https://cran.r-project.org", - "@type": "Organization", - "name": "Comprehensive R Archive Network (CRAN)", - "url": "https://cran.r-project.org" - }, - "sameAs": "https://CRAN.R-project.org/package=purrrlyr" - }, { "@type": "SoftwareApplication", "identifier": "rlang", diff --git a/docs/articles/additional.html b/docs/articles/additional.html index 9cb148508..594127f7c 100644 --- a/docs/articles/additional.html +++ b/docs/articles/additional.html @@ -139,7 +139,7 @@
vignettes/additional.Rmd
additional.Rmd
vignettes/web_only/combine_plots.Rmd
combine_plots.Rmd
vignettes/web_only/effsize_interpretation.Rmd
effsize_interpretation.Rmd
Test: Heteroscedastic one-way repeated measures ANOVA for trimmed means
Effect size: Not available ðŸ˜
Test: Heteroscedastic one-way repeated measures ANOVA for trimmed means
Effect size: Not available 😢
vignettes/web_only/faq.Rmd
faq.Rmd
vignettes/web_only/gallery.Rmd
gallery.Rmd
vignettes/web_only/ggbetweenstats.Rmd
ggbetweenstats.Rmd
vignettes/web_only/ggcoefstats.Rmd
ggcoefstats.Rmd
vignettes/web_only/ggcorrmat.Rmd
ggcorrmat.Rmd
vignettes/web_only/ggdotplotstats.Rmd
ggdotplotstats.Rmd
vignettes/web_only/gghistostats.Rmd
gghistostats.Rmd
vignettes/web_only/ggpiestats.Rmd
ggpiestats.Rmd
vignettes/web_only/ggscatterstats.Rmd
ggscatterstats.Rmd
vignettes/web_only/ggwithinstats.Rmd
ggwithinstats.Rmd
ggstatsplot
with the purrr
packagevignettes/web_only/purrr_examples.Rmd
purrr_examples.Rmd
vignettes/web_only/session_info.Rmd
session_info.Rmd
This vignette provides exhaustive details about the session (attached packages, their versions, date, source, etc.) in which the vignettes were created and the website was generated. This is helpful information for reproducibility. If you see any divergences between function behavior as described on the website and what you see on your system, this information can come in handy for diagnosing the source of those divergences.
-This session information was generated on 2019-09-08:
+This session information was generated on 2019-09-13:
options(width = 200)
sessioninfo::session_info(include_base = TRUE)
#> - Session info ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
@@ -168,190 +165,190 @@
#> collate English_United States.1252
#> ctype English_United States.1252
#> tz Europe/Berlin
-#> date 2019-09-08
+#> date 2019-09-13
#>
#> - Packages -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
-#> ! package * version date lib source
-#> abind 1.4-5 2016-07-21 [1] CRAN (R 3.5.0)
-#> assertthat 0.2.1 2019-03-21 [1] CRAN (R 3.6.0)
-#> backports 1.1.4 2019-04-10 [1] CRAN (R 3.6.0)
-#> base * 3.6.1 2019-07-05 [?] local
-#> BayesFactor 0.9.12-4.2 2018-05-19 [1] CRAN (R 3.5.1)
-#> bayestestR 0.2.5 2019-08-06 [1] CRAN (R 3.6.1)
-#> boot 1.3-23 2019-07-05 [1] CRAN (R 3.6.1)
-#> bridgesampling 0.7-2 2019-07-21 [1] CRAN (R 3.6.1)
-#> Brobdingnag 1.2-6 2018-08-13 [1] CRAN (R 3.5.1)
-#> broom 0.5.2.9002 2019-08-15 [1] local
-#> broom.mixed 0.2.4.9000 2019-08-07 [1] Github (bbolker/broom.mixed@46f79ec)
-#> broomExtra 0.0.5 2019-08-18 [1] local
-#> callr 3.3.1 2019-07-18 [1] CRAN (R 3.6.1)
-#> car 3.0-3 2019-05-27 [1] CRAN (R 3.6.0)
-#> carData 3.0-2 2018-09-30 [1] CRAN (R 3.5.1)
-#> cellranger 1.1.0 2016-07-27 [1] CRAN (R 3.5.1)
-#> cli 1.1.0 2019-03-19 [1] CRAN (R 3.6.0)
-#> cluster 2.1.0 2019-06-19 [2] CRAN (R 3.6.1)
-#> coda 0.19-3 2019-07-05 [1] CRAN (R 3.6.0)
-#> codetools 0.2-16 2018-12-24 [1] CRAN (R 3.5.2)
-#> coin 1.3-1 2019-08-28 [1] CRAN (R 3.6.1)
-#> colorspace 1.4-1 2019-03-18 [1] CRAN (R 3.6.0)
-#> P compiler 3.6.1 2019-07-05 [2] local
-#> cowplot 1.0.0 2019-07-11 [1] CRAN (R 3.6.1)
-#> crayon 1.3.4 2017-09-16 [1] CRAN (R 3.5.1)
-#> curl 4.0 2019-07-22 [1] CRAN (R 3.6.1)
-#> data.table 1.12.2 2019-04-07 [1] CRAN (R 3.5.3)
-#> P datasets * 3.6.1 2019-07-05 [2] local
-#> DEoptimR 1.0-8 2016-11-19 [1] CRAN (R 3.5.0)
-#> desc 1.2.0 2019-04-03 [1] Github (r-lib/desc@c860e7b)
-#> DescTools 0.99.28 2019-03-17 [1] CRAN (R 3.6.0)
-#> digest 0.6.20 2019-07-04 [1] CRAN (R 3.6.0)
-#> dplyr 0.8.3 2019-07-04 [1] CRAN (R 3.6.0)
-#> ellipsis 0.2.0.1 2019-07-02 [1] CRAN (R 3.6.0)
-#> emmeans 1.4 2019-08-01 [1] CRAN (R 3.6.1)
-#> EMT 1.1 2013-01-29 [1] CRAN (R 3.5.2)
-#> estimability 1.3 2018-02-11 [1] CRAN (R 3.5.0)
-#> evaluate 0.14 2019-05-28 [1] CRAN (R 3.6.0)
-#> expm 0.999-4 2019-03-21 [1] CRAN (R 3.6.0)
-#> ez 4.4-0 2016-11-02 [1] CRAN (R 3.5.3)
-#> fit.models 0.5-14 2017-04-06 [1] CRAN (R 3.5.1)
-#> forcats 0.4.0 2019-02-17 [1] CRAN (R 3.5.2)
-#> foreign 0.8-71 2018-07-20 [2] CRAN (R 3.6.1)
-#> fs 1.3.1 2019-05-06 [1] CRAN (R 3.6.0)
-#> furrr 0.1.0 2018-05-16 [1] CRAN (R 3.5.1)
-#> future 1.14.0 2019-07-02 [1] CRAN (R 3.6.0)
-#> generics 0.0.2 2019-03-05 [1] Github (r-lib/generics@c15ac43)
-#> ggcorrplot 0.1.3 2019-05-19 [1] CRAN (R 3.6.0)
-#> ggExtra 0.9 2019-08-27 [1] CRAN (R 3.6.1)
-#> ggplot2 3.2.1 2019-08-10 [1] CRAN (R 3.6.1)
-#> ggrepel 0.8.1 2019-05-07 [1] CRAN (R 3.6.0)
-#> ggsignif 0.6.0 2019-08-08 [1] CRAN (R 3.6.1)
-#> ggstatsplot * 0.1.1.9000 2019-09-08 [1] local
-#> globals 0.12.4 2018-10-11 [1] CRAN (R 3.5.1)
-#> glue 1.3.1 2019-03-12 [1] CRAN (R 3.6.0)
-#> P graphics * 3.6.1 2019-07-05 [2] local
-#> P grDevices * 3.6.1 2019-07-05 [2] local
-#> P grid 3.6.1 2019-07-05 [2] local
-#> gridExtra 2.3 2017-09-09 [1] CRAN (R 3.5.1)
-#> groupedstats 0.0.9.9000 2019-09-08 [1] local
-#> gtable 0.3.0 2019-03-25 [1] CRAN (R 3.6.0)
-#> gtools 3.8.1 2018-06-26 [1] CRAN (R 3.5.0)
-#> haven 2.1.1 2019-07-04 [1] CRAN (R 3.6.0)
-#> hms 0.5.1 2019-08-23 [1] CRAN (R 3.6.1)
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+#> P stats * 3.6.1 2019-07-05 [2] local
+#> P stats4 3.6.1 2019-07-05 [2] local
+#> statsExpressions 0.1.1.9000 2019-09-04 [1] local
+#> stringi 1.4.3 2019-03-12 [1] CRAN (R 3.6.0)
+#> stringr 1.4.0 2019-02-10 [1] CRAN (R 3.6.0)
+#> survival 2.44-1.1 2019-04-01 [2] CRAN (R 3.6.1)
+#> TH.data 1.0-10 2019-01-21 [1] CRAN (R 3.5.2)
+#> tibble 2.1.3 2019-06-06 [1] CRAN (R 3.6.0)
+#> tidyr 1.0.0 2019-09-11 [1] CRAN (R 3.6.1)
+#> tidyselect 0.2.5 2018-10-11 [1] CRAN (R 3.5.1)
+#> TMB 1.7.15 2018-11-09 [1] CRAN (R 3.6.0)
+#> P tools 3.6.1 2019-07-05 [2] local
+#> P utils * 3.6.1 2019-07-05 [2] local
+#> vctrs 0.2.0 2019-07-05 [1] CRAN (R 3.6.1)
+#> withr 2.1.2 2018-03-15 [1] CRAN (R 3.5.1)
+#> WRS2 1.0-0 2019-06-05 [1] R-Forge (R 3.6.0)
+#> xfun 0.9 2019-08-21 [1] CRAN (R 3.6.1)
+#> xtable 1.8-4 2019-04-21 [1] CRAN (R 3.5.3)
+#> yaml 2.2.0 2018-07-25 [1] CRAN (R 3.5.1)
+#> zeallot 0.1.0 2018-01-28 [1] CRAN (R 3.5.1)
+#> zip 2.0.4 2019-09-01 [1] CRAN (R 3.6.1)
+#> zoo 1.8-6 2019-05-28 [1] CRAN (R 3.6.0)
#>
#> [1] C:/Users/inp099/Documents/R/win-library/3.6
#> [2] C:/Program Files/R/R-3.6.1/library
diff --git a/docs/articles/web_only/theme_ggstatsplot.html b/docs/articles/web_only/theme_ggstatsplot.html
index 9b06887db..142a4b97b 100644
--- a/docs/articles/web_only/theme_ggstatsplot.html
+++ b/docs/articles/web_only/theme_ggstatsplot.html
@@ -59,9 +59,6 @@
-
additional vignettes
- -
- Tests and Coverage
-
-
combine_plots
@@ -142,7 +139,7 @@
ggstatsplot theme
Indrajeet Patil
- 2019-09-08
+ 2019-09-13
Source: vignettes/web_only/theme_ggstatsplot.Rmd
theme_ggstatsplot.Rmd
diff --git a/docs/index.html b/docs/index.html
index 3024dbe60..e848ce794 100644
--- a/docs/index.html
+++ b/docs/index.html
@@ -175,7 +175,7 @@
-
+
@@ -196,12 +196,12 @@
-
+
-
+
@@ -661,7 +661,7 @@
#> function(plot) {
#> cowplot::ggdraw() + cowplot::draw_grob(grid::grobTree(plot))
#> }
-#> <bytecode: 0x000000002740ed80>
+#> <bytecode: 0x000001b1d4dc3eb0>
#> <environment: namespace:ggstatsplot>
If you are not familiar either with what the namespace ::
does or how to use pipe operator %>%
, something this package and its documentation relies a lot on, you can check out these links-
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diff --git a/docs/reference/figures/README-ggwithinstats1-1.png b/docs/reference/figures/README-ggwithinstats1-1.png
index 1efefd810..6925a01d6 100644
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diff --git a/docs/reference/figures/README-ridgeplot-1.png b/docs/reference/figures/README-ridgeplot-1.png
index c4719433b..4d6aab6ee 100644
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diff --git a/docs/reference/ggbarstats.html b/docs/reference/ggbarstats.html
index 9588a5dcc..0d71647ee 100644
--- a/docs/reference/ggbarstats.html
+++ b/docs/reference/ggbarstats.html
@@ -503,16 +503,12 @@ Examp
legend.title = "Engine"
)#> Warning: Chi-squared approximation may be incorrect#> Warning: Chi-squared approximation may be incorrect#> Note: 95% CI for effect size estimate was computed with 10 bootstrap samples.
#> #> #> # A tibble: 3 x 11
-#> cyl counts perc N `0` `1` statistic p.value parameter
-#> <fct> <int> <dbl> <chr> <chr> <chr> <dbl> <dbl> <dbl>
-#> 1 8 14 43.8 (n = 14) 100.00% NA 14 0.000183 1
-#> 2 6 7 21.9 (n = 7) 42.86% 57.14% 0.143 0.705 1
-#> 3 4 11 34.4 (n = 11) 9.09% 90.91% 7.36 0.00666 1
-#> method significance
-#> <chr> <chr>
-#> 1 Chi-squared test for given probabilities ***
-#> 2 Chi-squared test for given probabilities ns
-#> 3 Chi-squared test for given probabilities **
+#> cyl counts perc N `0` `1` statistic p.value parameter method
+#> <fct> <int> <dbl> <chr> <chr> <chr> <dbl> <dbl> <dbl> <chr>
+#> 1 8 14 43.8 (n =~ 100.~ NA 14 1.83e-4 1 Chi-s~
+#> 2 6 7 21.9 (n =~ 42.8~ 57.1~ 0.143 7.05e-1 1 Chi-s~
+#> 3 4 11 34.4 (n =~ 9.09% 90.9~ 7.36 6.66e-3 1 Chi-s~
+#> # ... with 1 more variable: significance <chr>#> Note: 95% CI for effect size estimate was computed with 100 bootstrap samples.
#> #> #> # A tibble: 4 x 13
-#> Hair counts perc N Brown Blue Hazel Green statistic p.value
-#> <fct> <int> <dbl> <chr> <chr> <chr> <chr> <chr> <dbl> <dbl>
-#> 1 Blond 127 21.5 (n = 127) 5.51% 74.02% 7.87% 12.60% 164. 2.44e-35
-#> 2 Red 71 12.0 (n = 71) 36.62% 23.94% 19.72% 19.72% 5.45 1.42e- 1
-#> 3 Brown 286 48.3 (n = 286) 41.61% 29.37% 18.88% 10.14% 63.3 1.17e-13
-#> 4 Black 108 18.2 (n = 108) 62.96% 18.52% 13.89% 4.63% 87.3 8.19e-19
-#> parameter method significance
-#> <dbl> <chr> <chr>
-#> 1 3 Chi-squared test for given probabilities ***
-#> 2 3 Chi-squared test for given probabilities ns
-#> 3 3 Chi-squared test for given probabilities ***
-#> 4 3 Chi-squared test for given probabilities *** # }
+#> Hair counts perc N Brown Blue Hazel Green statistic p.value parameter
+#> <fct> <int> <dbl> <chr> <chr> <chr> <chr> <chr> <dbl> <dbl> <dbl>
+#> 1 Blond 127 21.5 (n =~ 5.51% 74.0~ 7.87% 12.6~ 164. 2.44e-35 3
+#> 2 Red 71 12.0 (n =~ 36.6~ 23.9~ 19.7~ 19.7~ 5.45 1.42e- 1 3
+#> 3 Brown 286 48.3 (n =~ 41.6~ 29.3~ 18.8~ 10.1~ 63.3 1.17e-13 3
+#> 4 Black 108 18.2 (n =~ 62.9~ 18.5~ 13.8~ 4.63% 87.3 8.19e-19 3
+#> # ... with 2 more variables: method <chr>, significance <chr># }
#> # A tibble: 3 x 11
-#> term estimate conf.low conf.high std.error statistic p.value significance
-#> <fct> <dbl> <dbl> <dbl> <dbl> <chr> <dbl> <chr>
-#> 1 cyl -1.98 -2.89 -1.06 0.449 -4.40 0.000141 ***
-#> 2 am 10.2 1.36 19.0 4.30 2.36 0.0253 *
-#> 3 cyl:am -1.31 -2.75 0.143 0.707 -1.85 0.0755 ns
-#> p.value.formatted df.residual
-#> <chr> <int>
-#> 1 <= 0.001 28
-#> 2 == 0.025 28
-#> 3 == 0.076 28
-#> label
-#> <chr>
-#> 1 list(~italic(beta)==-1.98, ~italic(t)(28)==-4.40, ~italic(p)<= 0.001)
-#> 2 list(~italic(beta)==10.18, ~italic(t)(28)==2.36, ~italic(p)== 0.025)
-#> 3 list(~italic(beta)==-1.31, ~italic(t)(28)==-1.85, ~italic(p)== 0.076)
+#> term estimate conf.low conf.high std.error statistic p.value significance
+#> <fct> <dbl> <dbl> <dbl> <dbl> <chr> <dbl> <chr>
+#> 1 cyl -1.98 -2.89 -1.06 0.449 -4.40 1.41e-4 ***
+#> 2 am 10.2 1.36 19.0 4.30 2.36 2.53e-2 *
+#> 3 cyl:~ -1.31 -2.75 0.143 0.707 -1.85 7.55e-2 ns
+#> # ... with 3 more variables: p.value.formatted <chr>, df.residual <int>,
+#> # label <chr>#> # A tibble: 1 x 12
-#> r.squared adj.r.squared sigma statistic p.value df logLik AIC BIC
-#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
-#> 1 0.785 0.762 2.94 34.1 0.00000000173 3 -77.8 166. 173.
-#> deviance df.residual nobs
-#> <dbl> <int> <int>
-#> 1 242. 28 32
+#> r.squared adj.r.squared sigma statistic p.value df logLik AIC BIC
+#> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
+#> 1 0.785 0.762 2.94 34.1 1.73e-9 3 -77.8 166. 173.
+#> # ... with 3 more variables: deviance <dbl>, df.residual <int>, nobs <int>#> # A tibble: 32 x 10
-#> .rownames mpg cyl am .fitted .resid .std.resid .hat .sigma
-#> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
-#> 1 Mazda RX4 21 6 1 21.4 0.364 -0.131 0.106 2.99
-#> 2 Mazda RX4 Wag 21 6 1 21.4 0.364 -0.131 0.106 2.99
-#> 3 Datsun 710 22.8 4 1 27.9 5.13 -1.86 0.117 2.80
-#> 4 Hornet 4 Drive 21.4 6 0 19.0 -2.38 0.842 0.0735 2.96
-#> 5 Hornet Sportabout 18.7 8 0 15.1 -3.63 1.29 0.0784 2.90
-#> 6 Valiant 18.1 6 0 19.0 0.919 -0.325 0.0735 2.99
-#> 7 Duster 360 14.3 8 0 15.1 0.768 -0.272 0.0784 2.99
-#> 8 Merc 240D 24.4 4 0 23.0 -1.43 0.563 0.255 2.98
-#> 9 Merc 230 22.8 4 0 23.0 0.171 -0.0672 0.255 2.99
-#> 10 Merc 280 19.2 6 0 19.0 -0.181 0.0639 0.0735 2.99
-#> .cooksd
-#> <dbl>
-#> 1 0.000510
-#> 2 0.000510
-#> 3 0.114
-#> 4 0.0141
-#> 5 0.0353
-#> 6 0.00209
-#> 7 0.00157
-#> 8 0.0271
-#> 9 0.000387
-#> 10 0.0000811
+#> .rownames mpg cyl am .fitted .resid .std.resid .hat .sigma .cooksd
+#> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
+#> 1 Mazda RX4 21 6 1 21.4 0.364 -0.131 0.106 2.99 5.10e-4
+#> 2 Mazda RX4 ~ 21 6 1 21.4 0.364 -0.131 0.106 2.99 5.10e-4
+#> 3 Datsun 710 22.8 4 1 27.9 5.13 -1.86 0.117 2.80 1.14e-1
+#> 4 Hornet 4 D~ 21.4 6 0 19.0 -2.38 0.842 0.0735 2.96 1.41e-2
+#> 5 Hornet Spo~ 18.7 8 0 15.1 -3.63 1.29 0.0784 2.90 3.53e-2
+#> 6 Valiant 18.1 6 0 19.0 0.919 -0.325 0.0735 2.99 2.09e-3
+#> 7 Duster 360 14.3 8 0 15.1 0.768 -0.272 0.0784 2.99 1.57e-3
+#> 8 Merc 240D 24.4 4 0 23.0 -1.43 0.563 0.255 2.98 2.71e-2
+#> 9 Merc 230 22.8 4 0 23.0 0.171 -0.0672 0.255 2.99 3.87e-4
+#> 10 Merc 280 19.2 6 0 19.0 -0.181 0.0639 0.0735 2.99 8.11e-5
#> # ... with 22 more rows
# -------------- with custom dataframe -----------------------------------
@@ -786,19 +764,8 @@ Examp
#> 8 11 361 2 71 2 2 60 80 538 1
#> 9 1 218 2 53 1 1 70 80 825 16
#> 10 7 166 2 61 1 2 70 70 271 34
-#> .fitted .se.fit .resid
-#> <dbl> <dbl> <dbl>
-#> 1 1.49 0.149 0.00439
-#> 2 1.35 0.0944 -0.506
-#> 3 1.10 0.0956 -3.13
-#> 4 1.12 0.0900 0.533
-#> 5 1.17 0.0770 -2.35
-#> 6 1.49 0.149 -4.25
-#> 7 0.806 0.104 0.448
-#> 8 0.848 0.121 0.290
-#> 9 1.04 0.115 0.548
-#> 10 1.19 0.0745 0.681
-#> # ... with 218 more rows
+#> # ... with 218 more rows, and 3 more variables: .fitted <dbl>, .se.fit <dbl>,
+#> # .resid <dbl>
#> # A tibble: 5 x 8
-#> term estimate std.error statistic p.value significance
-#> <chr> <dbl> <dbl> <chr> <dbl> <chr>
-#> 1 (Intercept) 2.80e+ 0 0.0831 33.64 4.41e-248 ***
-#> 2 outcome1 -2.27e- 1 0.101 -2.25 2.46e- 2 *
-#> 3 outcome2 -2.20e- 2 0.0592 -0.37 7.11e- 1 ns
-#> 4 treatment1 -1.33e-16 0.1000 0.00 10.00e- 1 ns
-#> 5 treatment2 -1.28e-16 0.0577 0.00 10.00e- 1 ns
+#> term estimate std.error statistic p.value significance
+#> <chr> <dbl> <dbl> <chr> <dbl> <chr>
+#> 1 (Intercept) 3.04e+ 0 0.171 17.81 5.43e-71 ***
+#> 2 outcome2 -4.54e- 1 0.202 -2.25 2.46e- 2 *
+#> 3 outcome3 -2.93e- 1 0.193 -1.52 1.28e- 1 ns
+#> 4 treatment2 1.34e-15 0.200 0.00 10.00e- 1 ns
+#> 5 treatment3 1.42e-15 0.200 0.00 10.00e- 1 ns
#> p.value.formatted
#> <chr>
#> 1 <= 0.001
#> 2 == 0.025
-#> 3 == 0.711
+#> 3 == 0.128
#> 4 == 1.000
#> 5 == 1.000
#> label
#> <chr>
-#> 1 list(~italic(beta)==2.80, ~italic(z)==33.64, ~italic(p)<= 0.001)
-#> 2 list(~italic(beta)==-0.23, ~italic(z)==-2.25, ~italic(p)== 0.025)
-#> 3 list(~italic(beta)==-0.02, ~italic(z)==-0.37, ~italic(p)== 0.711)
+#> 1 list(~italic(beta)==3.04, ~italic(z)==17.81, ~italic(p)<= 0.001)
+#> 2 list(~italic(beta)==-0.45, ~italic(z)==-2.25, ~italic(p)== 0.025)
+#> 3 list(~italic(beta)==-0.29, ~italic(z)==-1.52, ~italic(p)== 0.128)
#> 4 list(~italic(beta)==0.00, ~italic(z)==0.00, ~italic(p)== 1.000)
#> 5 list(~italic(beta)==0.00, ~italic(z)==0.00, ~italic(p)== 1.000)
#------------------------- models with *f*-statistic --------------------
diff --git a/docs/reference/ggscatterstats.html b/docs/reference/ggscatterstats.html
index 9fcb5bef5..b2c1af35c 100644
--- a/docs/reference/ggscatterstats.html
+++ b/docs/reference/ggscatterstats.html
@@ -309,7 +309,7 @@ Arg
point.width.jitter, point.height.jitter
Degree of jitter in x
and y
-direction, respectively. Defaults to 0
(0
+direction, respectively. Defaults to 0
(0%) of the resolution of the
data.
diff --git a/docs/reference/grouped_ggbetweenstats-2.png b/docs/reference/grouped_ggbetweenstats-2.png
index adc288535..4fe282b93 100644
Binary files a/docs/reference/grouped_ggbetweenstats-2.png and b/docs/reference/grouped_ggbetweenstats-2.png differ
diff --git a/docs/reference/grouped_ggscatterstats-2.png b/docs/reference/grouped_ggscatterstats-2.png
index ab3062562..d87553c92 100644
Binary files a/docs/reference/grouped_ggscatterstats-2.png and b/docs/reference/grouped_ggscatterstats-2.png differ
diff --git a/docs/reference/grouped_ggscatterstats-3.png b/docs/reference/grouped_ggscatterstats-3.png
index 6e83cc503..35bcd2a08 100644
Binary files a/docs/reference/grouped_ggscatterstats-3.png and b/docs/reference/grouped_ggscatterstats-3.png differ
diff --git a/docs/reference/grouped_ggscatterstats.html b/docs/reference/grouped_ggscatterstats.html
index 96d7da60d..7b0663ce1 100644
--- a/docs/reference/grouped_ggscatterstats.html
+++ b/docs/reference/grouped_ggscatterstats.html
@@ -338,13 +338,13 @@ Arg
point.width.jitter
Degree of jitter in x
and y
-direction, respectively. Defaults to 0
(0
+direction, respectively. Defaults to 0
(0%) of the resolution of the
data.
point.height.jitter
Degree of jitter in x
and y
-direction, respectively. Defaults to 0
(0
+direction, respectively. Defaults to 0
(0%) of the resolution of the
data.
diff --git a/docs/reference/mean_labeller.html b/docs/reference/mean_labeller.html
index 77be79032..dbe97ed05 100644
--- a/docs/reference/mean_labeller.html
+++ b/docs/reference/mean_labeller.html
@@ -238,12 +238,18 @@ Examp
mean.ci = TRUE,
k = 3
)#> # A tibble: 4 x 8
-#> vore brainwt mean mean.low.conf mean.high.conf n label n_label
-#> <fct> <dbl> <chr> <chr> <chr> <dbl> <chr> <chr>
-#> 1 carni 0.079 0.079 0.002 0.156 9 list(~italic~ "carni\~
-#> 2 herbi 0.62 0.620 -0.115 1.355 20 list(~italic~ "herbi\~
-#> 3 insec~ 0.022 0.022 -0.021 0.065 5 list(~italic~ "insect~
-#> 4 omni 0.15 0.150 -0.015 0.315 17 list(~italic~ "omni\n~# }
+#> vore brainwt mean mean.low.conf mean.high.conf n
+#> <fct> <dbl> <chr> <chr> <chr> <dbl>
+#> 1 carni 0.079 0.079 0.002 0.156 9
+#> 2 herbi 0.62 0.620 -0.115 1.355 20
+#> 3 insecti 0.022 0.022 -0.021 0.065 5
+#> 4 omni 0.15 0.150 -0.015 0.315 17
+#> label n_label
+#> <chr> <chr>
+#> 1 list(~italic(mu)==0.079,CI[95*'%'](0.002,0.156)) "carni\n(n = 9)"
+#> 2 list(~italic(mu)==0.620,CI[95*'%'](-0.115,1.355)) "herbi\n(n = 20)"
+#> 3 list(~italic(mu)==0.022,CI[95*'%'](-0.021,0.065)) "insecti\n(n = 5)"
+#> 4 list(~italic(mu)==0.150,CI[95*'%'](-0.015,0.315)) "omni\n(n = 17)" # }
diff --git a/docs/reference/reexports.html b/docs/reference/reexports.html
index 473205ada..219676359 100644
--- a/docs/reference/reexports.html
+++ b/docs/reference/reexports.html
@@ -47,9 +47,9 @@
\%}}, \code{\link[broomExtra]{\%<>\%}}, \code{\link[broomExtra]{\%$\%}}}
- \item{magrittr}{\code{\link[magrittr]{\%>\%}}, \code{\link[magrittr]{\%<>\%}}, \code{\link[magrittr]{\%$\%}}}
+ \item{groupedstats}{\code{\link[groupedstats]{specify_decimal_p}}, \code{\link[groupedstats]{signif_column}}, \code{\link[groupedstats]{lm_effsize_ci}}, \code{\link[groupedstats]{set_cwd}}}
\item{rlang}{\code{\link[rlang]{\%||\%}}, \code{\link[rlang]{\%|\%}}}
diff --git a/tests/testthat/test-argument_count.R b/tests/testthat/test-argument_count.R
index d633a9e84..92566db3b 100644
--- a/tests/testthat/test-argument_count.R
+++ b/tests/testthat/test-argument_count.R
@@ -29,15 +29,20 @@ testthat::test_that(
) %>%
dplyr::mutate(.data = ., value = stringr::str_remove(value, "grouped_")) %>%
dplyr::arrange(.data = ., value) %>%
- purrrlyr::by_row(
- .d = .,
- ..f = ~ length(formals(eval(
- rlang::parse_expr(.$functions)
- ))),
- .collate = "cols",
- .to = "n"
+ dplyr::mutate(.data = ., rowid = dplyr::row_number()) %>%
+ dplyr::group_nest(.tbl = ., rowid) %>%
+ dplyr::mutate(
+ .data = .,
+ n = data %>%
+ purrr::map(
+ .x = .,
+ .f = ~ length(formals(eval(
+ rlang::parse_expr(.$functions)
+ )))
+ )
) %>%
- dplyr::select(.data = ., -functions) %>%
+ tidyr::unnest(data = ., c(n, data)) %>%
+ dplyr::select(.data = ., -functions, -rowid) %>%
tidyr::spread(
data = .,
key = version,
@@ -49,7 +54,7 @@ testthat::test_that(
.data = .,
difference = grouped - (basic + 2)
) %>%
- stats::na.omit(.)
+ tidyr::drop_na(.)
# testing if formals are as expected
testthat::expect_equal(sum(ns_df$difference), 0L)
diff --git a/tests/testthat/test-ggbetweenstats.R b/tests/testthat/test-ggbetweenstats.R
index 78951cd1e..027971d75 100644
--- a/tests/testthat/test-ggbetweenstats.R
+++ b/tests/testthat/test-ggbetweenstats.R
@@ -22,7 +22,6 @@ testthat::test_that(
desc = "outlier.labeling works across vector types",
code = {
-
# `outlier.label` is numeric
set.seed(123)
testthat::expect_true(inherits(