From d23e7af8fcfbffc4f0332003247c37b41b61d3b2 Mon Sep 17 00:00:00 2001 From: lloyddewit Date: Tue, 15 Jun 2021 11:33:03 +0200 Subject: [PATCH] Added tool tip text to English JSON file --- .../translations/en/r_instat_not_menus.json | 239 +++++++++++++++++- .../translationsManuallyEntered.csv | 12 + 2 files changed, 250 insertions(+), 1 deletion(-) diff --git a/instat/translations/en/r_instat_not_menus.json b/instat/translations/en/r_instat_not_menus.json index 04ad37b360f..221baf0de02 100644 --- a/instat/translations/en/r_instat_not_menus.json +++ b/instat/translations/en/r_instat_not_menus.json @@ -3591,4 +3591,241 @@ "xxhash64": "xxhash64", "yday": "yday", "year": "year", -"ymd": "ymd"} \ No newline at end of file +"ymd": "ymd", +" Define a logical variable, e.g. as.logical(0, 1, 0, 10, -5) gives FALSE, TRUE, FALSE, TRUE, TRUE.": " Define a logical variable, e.g. as.logical(0, 1, 0, 10, -5) gives FALSE, TRUE, FALSE, TRUE, TRUE.", +" For some hypotheses the alternative hypothesis is two sided by default, but can be changed to ": " For some hypotheses the alternative hypothesis is two sided by default, but can be changed to ", +" Integer above the given value. For example ceiling(3.5) = 4; ceiling(-3.5) = -3": " Integer above the given value. For example ceiling(3.5) = 4; ceiling(-3.5) = -3", +" Use ranks to divide into (almost) equal sized groups. For example ntile(c(15,11,13,12,NA,12),2) = (2,1,2,1,NA,1)": " Use ranks to divide into (almost) equal sized groups. For example ntile(c(15,11,13,12,NA,12),2) = (2,1,2,1,NA,1)", +" beta quantiles. For example qbeta(0.2,1,1) = 0.2 (Uniform); qbeta(0.95,10,10) = 0.6799": " beta quantiles. For example qbeta(0.2,1,1) = 0.2 (Uniform); qbeta(0.95,10,10) = 0.6799", +" binomial quantiles. For example qbinom(0.9,5,0.4) = 3": " binomial quantiles. For example qbinom(0.9,5,0.4) = 3", +" log gamma function. For example lgamma(800) = 4545": " log gamma function. For example lgamma(800) = 4545", +" logical AND(&). For example (2 < 3) & (2 < 1) is the same as (TRUE & FALSE) which is FALSE": " logical AND(&). For example (2 < 3) & (2 < 1) is the same as (TRUE & FALSE) which is FALSE", +" maximum of a set of variables. For examples pmax(c(1,3,5),c(6,4,2)) = (6,4,5)": " maximum of a set of variables. For examples pmax(c(1,3,5),c(6,4,2)) = (6,4,5)", +" minimum ranks. For example m_rank(c(15,11,13,12,NA,12)) = (5,1,4,2,NA,2)": " minimum ranks. For example m_rank(c(15,11,13,12,NA,12)) = (5,1,4,2,NA,2)", +" t probabilities. For example pt(-2,5) = 0.051; pt(-2,1000) = 0.0229 ~ pnorm(-2)": " t probabilities. For example pt(-2,5) = 0.051; pt(-2,1000) = 0.0229 ~ pnorm(-2)", +" tangent of angle in radians. For example tan(pi/4) = sin(pi/4)/cos(pi/4) = tan(rad(45)) = 1": " tangent of angle in radians. For example tan(pi/4) = sin(pi/4)/cos(pi/4) = tan(rad(45)) = 1", +"!is.na detects non-missing values, for example !is.na(c(1,3,NA, 5)) gives TRUE, TRUE, FALSE, TRUE": "!is.na detects non-missing values, for example !is.na(c(1,3,NA, 5)) gives TRUE, TRUE, FALSE, TRUE", +"(%in%)is like the match function and returns a logical vector. For example (11:15 %in% c(11,13)) gives TRUE, FALSE, TRUE, FALSE, FALSE": "(%in%)is like the match function and returns a logical vector. For example (11:15 %in% c(11,13)) gives TRUE, FALSE, TRUE, FALSE, FALSE", +"(natural) logarithm. For example log(512) = 6.238; log(512,2) = 9 (log to base 2, i.e. 2 ^ 9 =512)": "(natural) logarithm. For example log(512) = 6.238; log(512,2) = 9 (log to base 2, i.e. 2 ^ 9 =512)", +"(normal probabilities. For example; pnorm(-1.6449) = 0.05; pnorm(130,100,15) = 0.9772.": "(normal probabilities. For example; pnorm(-1.6449) = 0.05; pnorm(130,100,15) = 0.9772.", +"(see also %in%)gives the positions of the matching elements. For example match(11:15, c(11,13)) gives (1,NA, 2, NA, NA). match(11:15,c(11,13),nomatch=0) gives 1, 0, 2, 0, 0)": "(see also %in%)gives the positions of the matching elements. For example match(11:15, c(11,13)) gives (1,NA, 2, NA, NA). match(11:15,c(11,13),nomatch=0) gives 1, 0, 2, 0, 0)", +"10 variables and 50 observations, sampling with replacement and probability 0.3 of TRUE": "10 variables and 50 observations, sampling with replacement and probability 0.3 of TRUE", +"10 variables from the Wakefield package": "10 variables from the Wakefield package", +"2 variables including generating a sequence of times": "2 variables including generating a sequence of times", +"20 variables, each a random sample from a binomial distribution": "20 variables, each a random sample from a binomial distribution", +"20 years of rainfall-type data using binomial (p = 0.4) and exponential (mean = 10) variables": "20 years of rainfall-type data using binomial (p = 0.4) and exponential (mean = 10) variables", +"3 variables including both random normal and uniform data": "3 variables including both random normal and uniform data", +"4 variables, showing use of seq and rep function": "4 variables, showing use of seq and rep function", +"49 variables, illustrating most of the types of data in the Wakefield package": "49 variables, illustrating most of the types of data in the Wakefield package", +"A rank version of von Neumann’s ratio test proposed by Bartels": "A rank version of von Neumann’s ratio test proposed by Bartels", +"A sequence of dates from 1935/3/1, 1935/6/1 ...)": "A sequence of dates from 1935/3/1, 1935/6/1 ...)", +"A sequence of values 1, 2, 3, 4, 10, 15, 15, 15, 20.": "A sequence of values 1, 2, 3, 4, 10, 15, 15, 15, 20.", +"A set of sequences, giving 0, 1, 3, 5, 10, 11, 12, 15, 15.": "A set of sequences, giving 0, 1, 3, 5, 10, 11, 12, 15, 15.", +"A single number repeated for the data frame.": "A single number repeated for the data frame.", +"A single text repeated for the data frame.": "A single text repeated for the data frame.", +"A subset, e.g. letters[1:4] gives a, b, c, d.": "A subset, e.g. letters[1:4] gives a, b, c, d.", +"Add Comment button is enabled when the key exists in the data frame and the input comment is not empty.": "Add Comment button is enabled when the key exists in the data frame and the input comment is not empty.", +"All cases are given as being duplicate rows": "All cases are given as being duplicate rows", +"Anderson-Darling test for normality": "Anderson-Darling test for normality", +"Any duplicates are given their index number": "Any duplicates are given their index number", +"Bartels Rank Test of Randomness": "Bartels Rank Test of Randomness", +"Buishand Range Test for Change-Point Detection": "Buishand Range Test for Change-Point Detection", +"Clears all data entry.": "Clears all data entry.", +"Cold spell is defined as a sequence of 6 or more days in which the daily minimum temperature is below the 10th percentile of daily minimum temperature for a 5-day running window surrounding this day during the baseline period": "Cold spell is defined as a sequence of 6 or more days in which the daily minimum temperature is below the 10th percentile of daily minimum temperature for a 5-day running window surrounding this day during the baseline period", +"Combines arguments to form a single vector, e.g. c(1:3 8) is 1, 2, 3, 8.": "Combines arguments to form a single vector, e.g. c(1:3 8) is 1, 2, 3, 8.", +"Computes the monthly or annual proportion of maximum temperature above 90th percentile": "Computes the monthly or annual proportion of maximum temperature above 90th percentile", +"Computes the monthly or annual proportion of maximum temperature below 10th percentile": "Computes the monthly or annual proportion of maximum temperature below 10th percentile", +"Computes the monthly or annual proportion of minimum temperature above 90th percentile": "Computes the monthly or annual proportion of minimum temperature above 90th percentile", +"Computes the monthly or annual proportion of minimum temperature below 10th percentile": "Computes the monthly or annual proportion of minimum temperature below 10th percentile", +"Computes the annual count of days where daily precipitation is more than 10mm per day": "Computes the annual count of days where daily precipitation is more than 10mm per day", +"Computes the annual count of days where daily precipitation is more than 20mm per day": "Computes the annual count of days where daily precipitation is more than 20mm per day", +"Computes the annual sum of precipitation in days where daily precipitation exceeds the 95th percentile of daily precipitation in the base period": "Computes the annual sum of precipitation in days where daily precipitation exceeds the 95th percentile of daily precipitation in the base period", +"Computes the annual sum of precipitation in days where daily precipitation exceeds the 99th percentile of daily precipitation in the base period": "Computes the annual sum of precipitation in days where daily precipitation exceeds the 99th percentile of daily precipitation in the base period", +"Computes the annual sum of precipitation in wet days (days where precipitation is at least 1mm)": "Computes the annual sum of precipitation in wet days (days where precipitation is at least 1mm)", +"Computes the climdex index Rnnmm: the annual count of days where daily precipitation is more than nn mm per day": "Computes the climdex index Rnnmm: the annual count of days where daily precipitation is more than nn mm per day", +"Computes the climdex index Rx1day: monthly or annual maximum 1-day precipitation": "Computes the climdex index Rx1day: monthly or annual maximum 1-day precipitation", +"Computes the mean daily diurnal temperature range. The frequency of observation can be either monthly or annual": "Computes the mean daily diurnal temperature range. The frequency of observation can be either monthly or annual", +"Computes the monthly or annual maximum consecutive 5-day precipitation": "Computes the monthly or annual maximum consecutive 5-day precipitation", +"Computes the monthly or annual maximum of daily maximum temperature": "Computes the monthly or annual maximum of daily maximum temperature", +"Computes the monthly or annual maximum of daily minimum temperature": "Computes the monthly or annual maximum of daily minimum temperature", +"Computes the monthly or annual minimum of daily maximum temperature": "Computes the monthly or annual minimum of daily maximum temperature", +"Computes the monthly or annual minimum of daily minimum temperature": "Computes the monthly or annual minimum of daily minimum temperature", +"Cramer-von Mises test for normality": "Cramer-von Mises test for normality", +"Data checking facilities not yet implemented": "Data checking facilities not yet implemented", +"Data frame with a single variable to build on.": "Data frame with a single variable to build on.", +"Define a character variable, e.g. as.character(c(3, 5, ": "Define a character variable, e.g. as.character(c(3, 5, ", +"F probabilities. For example pf(2,1,10) = 0.8123; pf(2,50,50) = 0.9921": "F probabilities. For example pf(2,1,10) = 0.8123; pf(2,50,50) = 0.9921", +"F quantiles. For example qf(0.95,1,10) = 4.965; qf(0.95, 50,50)= 1.599": "F quantiles. For example qf(0.95,1,10) = 4.965; qf(0.95, 50,50)= 1.599", +"For scientific notation, e.g. 1.5E-1 = 0.15.": "For scientific notation, e.g. 1.5E-1 = 0.15.", +"Four variables including monthly dates. Or use Prepare > Column: Date > Generate Dates to include a date variable.": "Four variables including monthly dates. Or use Prepare > Column: Date > Generate Dates to include a date variable.", +"Gives 300, 450, 600 then repeated for the data frame.": "Gives 300, 450, 600 then repeated for the data frame.", +"Gives Apr, Apr, May, Jun, Jun, Jul, NA, NA, NA.": "Gives Apr, Apr, May, Jun, Jun, Jul, NA, NA, NA.", +"Gives D, D, D, D, C, C, C, B, A as a factor.": "Gives D, D, D, D, C, C, C, B, A as a factor.", +"ID plus 10 categorical variables (as factors) and 10% of missing values": "ID plus 10 categorical variables (as factors) and 10% of missing values", +"ID plus 10 categorical variables each with 5 levels": "ID plus 10 categorical variables each with 5 levels", +"ID, plus 12 variables. 6 are indicator (dummy) variables, 3 Likert and 3 grades": "ID, plus 12 variables. 6 are indicator (dummy) variables, 3 Likert and 3 grades", +"Illustrates the gl function and generates data for a simple experiment on 12 plots": "Illustrates the gl function and generates data for a simple experiment on 12 plots", +"Include the quotes if the default value is a string e.g. ": "Include the quotes if the default value is a string e.g. ", +"Lilliefors (Kolmogorov-Smirnov) test for normality": "Lilliefors (Kolmogorov-Smirnov) test for normality", +"Maximum number of days when precipitation is greater than 1mm": "Maximum number of days when precipitation is greater than 1mm", +"Maximum number of days when precipitation is less than 1mm.": "Maximum number of days when precipitation is less than 1mm.", +"Min.bin can also be length of two e.g. min.bin = c(10,20)": "Min.bin can also be length of two e.g. min.bin = c(10,20)", +"Missing values as the mean (usually) overall or with a factor. For example na.aggregate(c(NA,NA,NA,2,2,NA,4,7,NA),maxgap=2,na.rm=FALSE) = (NA,NA,NA,2,2,3.75,4,7,3.75)": "Missing values as the mean (usually) overall or with a factor. For example na.aggregate(c(NA,NA,NA,2,2,NA,4,7,NA),maxgap=2,na.rm=FALSE) = (NA,NA,NA,2,2,3.75,4,7,3.75)", +"Modified Nash-Sutcliffe effieciency": "Modified Nash-Sutcliffe effieciency", +"Name of the country, county or ward in the shapefile": "Name of the country, county or ward in the shapefile", +"Name of the country, county or ward, if available in the station file": "Name of the country, county or ward, if available in the station file", +"One column for each day in month (31), or alternative value/flag columns for each day in month (62)": "One column for each day in month (31), or alternative value/flag columns for each day in month (62)", +"One column for each month (12)": "One column for each month (12)", +"One column for each year": "One column for each year", +"Pearson chi-square test for normality": "Pearson chi-square test for normality", +"Performes a non-parametric test after Pettitt in order to test for a shift in the central tendency of a time series. The H0-hypothesis, no change, is tested against the HA-Hypothesis, change": "Performes a non-parametric test after Pettitt in order to test for a shift in the central tendency of a time series. The H0-hypothesis, no change, is tested against the HA-Hypothesis, change", +"Performes the Buishand range test for change-point detection of a normal variate.": "Performes the Buishand range test for change-point detection of a normal variate.", +"Performes the Standard Normal Homogeinity Test (SNHT) for change-point detection of a normal variate.": "Performes the Standard Normal Homogeinity Test (SNHT) for change-point detection of a normal variate.", +"Pettitt’s test for change-point detection": "Pettitt’s test for change-point detection", +"Plots that aid in identification of a threshold over which to fit a generalized Pareto distribution and threshold selection through fitting models to a range of thresholds.": "Plots that aid in identification of a threshold over which to fit a generalized Pareto distribution and threshold selection through fitting models to a range of thresholds.", +"Poisson probabilities. For example ppois(8, 5) = 0.93": "Poisson probabilities. For example ppois(8, 5) = 0.93", +"Poisson quantiles. For example qpois(0.9, 5) = 8": "Poisson quantiles. For example qpois(0.9, 5) = 8", +"Positive integer giving the minimum segment length (no. of observations between changes), default is the minimum allowed by theory.": "Positive integer giving the minimum segment length (no. of observations between changes), default is the minimum allowed by theory.", +"Proportion of values less than or equal to the current rank. For example cume_dist(c(2,4,6,8,3)) = (0.2, 0.6, 0.8, 1.0, 0.4)": "Proportion of values less than or equal to the current rank. For example cume_dist(c(2,4,6,8,3)) = (0.2, 0.6, 0.8, 1.0, 0.4)", +"Random uniform data from 3 different uniform distributions).": "Random uniform data from 3 different uniform distributions).", +"Regular sequence of monthly data": "Regular sequence of monthly data", +"Repeat of a sequence, e.g. rep(c(2, 3, 4), each=2) gives 2, 2, 3, 3, 4, 4.": "Repeat of a sequence, e.g. rep(c(2, 3, 4), each=2) gives 2, 2, 3, 3, 4, 4.", +"Seasonal Mann-Kendall trend test (Hirsch-Slack test)": "Seasonal Mann-Kendall trend test (Hirsch-Slack test)", +"Sen's slope for linear rate of change": "Sen's slope for linear rate of change", +"Sen’s slope for linear rate of change and corresponding confidence interval": "Sen’s slope for linear rate of change and corresponding confidence interval", +"Sequences, given either as seq(1, 5, 2) to give 1, 3, 5 or as seq(1, 5, length = 3) to give the same.": "Sequences, given either as seq(1, 5, 2) to give 1, 3, 5 or as seq(1, 5, length = 3) to give the same.", +"Shapiro-Francia test for normality": "Shapiro-Francia test for normality", +"Shift a variable down. For example lag(1:5) = (NA,1,2,3,4); lag(1:5,3) = (NA,NA,NA, 1,2)": "Shift a variable down. For example lag(1:5) = (NA,1,2,3,4); lag(1:5,3) = (NA,NA,NA, 1,2)", +"Shift a variable up. For example lead(1:5) = (2,3,4,5,NA); lead(1:5;3) = (4,5, NA,NA,NA)": "Shift a variable up. For example lead(1:5) = (2,3,4,5,NA); lead(1:5;3) = (4,5, NA,NA,NA)", +"Spline interpolation of missing values. For example na.spline(c(NA,NA,NA,2,2,NA,4,7,NA),maxgap=2,na.rm=FALSE) = (NA,NA,NA,2,2,2.5,4,7,12)": "Spline interpolation of missing values. For example na.spline(c(NA,NA,NA,2,2,NA,4,7,NA),maxgap=2,na.rm=FALSE) = (NA,NA,NA,2,2,2.5,4,7,12)", +"Standard Normal Homogeinity Test (SNHT) for Change-Point Detection": "Standard Normal Homogeinity Test (SNHT) for Change-Point Detection", +"The Buishand U test for change-point detection of a normal variate": "The Buishand U test for change-point detection of a normal variate", +"The Buishand range test for change-point detection of a normal variate": "The Buishand range test for change-point detection of a normal variate", +"The Fligner-Pollicello robust rank-order distributional test for location": "The Fligner-Pollicello robust rank-order distributional test for location", +"The Mann-Kendall trend test": "The Mann-Kendall trend test", +"The Wallis and Moore phase-frequency test": "The Wallis and Moore phase-frequency test", +"The annual count of days where daily maximum temperature exceeds 25 degrees Celsius": "The annual count of days where daily maximum temperature exceeds 25 degrees Celsius", +"The annual count of days where daily maximum temperature is below 0 degrees Celsius": "The annual count of days where daily maximum temperature is below 0 degrees Celsius", +"The annual count of days where daily minimum temperature drops below 0 degrees Celsius": "The annual count of days where daily minimum temperature drops below 0 degrees Celsius", +"The annual count of days where daily minimum temperature stays above 20 degrees Celsius": "The annual count of days where daily minimum temperature stays above 20 degrees Celsius", +"The confidence level can be changed for some tests to 0.9 or 0.99 etc": "The confidence level can be changed for some tests to 0.9 or 0.99 etc", +"The data must be defined as climatic to recognise which variable is precipitation.": "The data must be defined as climatic to recognise which variable is precipitation.", +"The first occurrence is not indicated, but further instances are considered duplicates": "The first occurrence is not indicated, but further instances are considered duplicates", +"The letters, e.g. letters[1:4] gives a, b, c, d. Type LETTERS[1:4] for A, B, C, D.": "The letters, e.g. letters[1:4] gives a, b, c, d. Type LETTERS[1:4] for A, B, C, D.", +"The maximum number of changepoints to search for using the BinSeg method": "The maximum number of changepoints to search for using the BinSeg method", +"The multivariate (multisite) Mann-Kendall test": "The multivariate (multisite) Mann-Kendall test", +"The non-parametric Cox and Stuart trend test": "The non-parametric Cox and Stuart trend test", +"The non-parametric Lanzante test for a shift in the central tendency of a time series": "The non-parametric Lanzante test for a shift in the central tendency of a time series", +"The non-parametric Wald-Wolfowitz test for independence and stationarity": "The non-parametric Wald-Wolfowitz test for independence and stationarity", +"The number of days between the start of the first spell of warm days in the first half of the year, and the start of the first spell of cold days in the second half of the year": "The number of days between the start of the first spell of warm days in the first half of the year, and the start of the first spell of cold days in the second half of the year", +"The number pi = 3.14...": "The number pi = 3.14...", +"The partial Mann-Kendall trend test": "The partial Mann-Kendall trend test", +"The partial correlation trend test": "The partial correlation trend test", +"The same data frame as the default from the Empty option of this dialogue.": "The same data frame as the default from the Empty option of this dialogue.", +"The seasonal Mann-Kendall test under the presence of correlated seasons": "The seasonal Mann-Kendall test under the presence of correlated seasons", +"The seasonal Sen’s slope for linear rate of change": "The seasonal Sen’s slope for linear rate of change", +"The standard normal homogeneity test (SNHT) for change-point detection of a normal variate": "The standard normal homogeneity test (SNHT) for change-point detection of a normal variate", +"The sum of precipitation in wet days (days with preciptitation over 1mm) during the year divided by the number of wet days in the year.": "The sum of precipitation in wet days (days with preciptitation over 1mm) during the year divided by the number of wet days in the year.", +"The theoretical type I error e.g.0.05 when using the Asymptotic penalty. A vector of length 2 (min,max) if using the CROPS penalty": "The theoretical type I error e.g.0.05 when using the Asymptotic penalty. A vector of length 2 (min,max) if using the CROPS penalty", +"The values written to the data frame are transformed, usually multiplied, by the value given here.": "The values written to the data frame are transformed, usually multiplied, by the value given here.", +"This will try 'Year(4-digit)-Month-Day %Y-%m-%d' then 'Year(4-digit)/Month/Day %Y/%m/%d' on the first non-NA element": "This will try 'Year(4-digit)-Month-Day %Y-%m-%d' then 'Year(4-digit)/Month/Day %Y/%m/%d' on the first non-NA element", +"Two variables with daily dates and rainfall, ready for climatic data entry.": "Two variables with daily dates and rainfall, ready for climatic data entry.", +"Type \n where you would like a new-line": "Type \n where you would like a new-line", +"Values 1 to 3 with the variable made into a factor .": "Values 1 to 3 with the variable made into a factor .", +"Values that are further than this number of IQRs from the corresponding quartile.": "Values that are further than this number of IQRs from the corresponding quartile.", +"Warm spell is defined as a sequence of 6 or more days in which the daily maximum temperature exceeds the 90th percentile of daily maximum temperature for a 5-day running window surrounding this day during the baseline period": "Warm spell is defined as a sequence of 6 or more days in which the daily maximum temperature exceeds the 90th percentile of daily maximum temperature for a 5-day running window surrounding this day during the baseline period", +"When implemented, this is an option to show the transformed data.": "When implemented, this is an option to show the transformed data.", +"When interval-censored, the 'Event' variable takes 0=right censored, 1=event at time, 2=left censored, 3=interval censored.": "When interval-censored, the 'Event' variable takes 0=right censored, 1=event at time, 2=left censored, 3=interval censored.", +"When the year is shifted, this gives the starting year, for example 1984-1985 is given as 1984": "When the year is shifted, this gives the starting year, for example 1984-1985 is given as 1984", +"With more than one condition, e.g. (sunhrs >14) | (sunhrs <0) then just one need be TRUE.": "With more than one condition, e.g. (sunhrs >14) | (sunhrs <0) then just one need be TRUE.", +"With more than one condition, e.g. (year > 1990) & (year < 2021) they have all to be TRUE.": "With more than one condition, e.g. (year > 1990) & (year < 2021) they have all to be TRUE.", +"all Are all values TRUE in a logical variable. For example all(1:5 >3) gives FALSE": "all Are all values TRUE in a logical variable. For example all(1:5 >3) gives FALSE", +"angle corresponding to a given cosine (in the range 0 to pi). For example acos(0) = 1.57 = pi/2; deg(acos(-1))=180.": "angle corresponding to a given cosine (in the range 0 to pi). For example acos(0) = 1.57 = pi/2; deg(acos(-1))=180.", +"angle corresponding to a given sine (in the range (0 to pi). For example asin(1) = 1.57 = pi/2.": "angle corresponding to a given sine (in the range (0 to pi). For example asin(1) = 1.57 = pi/2.", +"angle corresponding to a given tangent (in the range 0 to pi). For example atan(1) = 0..7854 (= pi/4); deg(atan(1)) = 45.": "angle corresponding to a given tangent (in the range 0 to pi). For example atan(1) = 0..7854 (= pi/4); deg(atan(1)) = 45.", +"any Are any values TRUE in a logical variable. For example any(1:5 >3) gives TRUE": "any Are any values TRUE in a logical variable. For example any(1:5 >3) gives TRUE", +"beta function. For example beta(6,2) = gamma(6)gamma(2)/gamma(8) = 0.02381": "beta function. For example beta(6,2) = gamma(6)gamma(2)/gamma(8) = 0.02381", +"beta probabilities. For example pbeta(0.8,1,1) = 0.8 (Uniform); pbeta(0.8,10,10) = 0.9984": "beta probabilities. For example pbeta(0.8,1,1) = 0.8 (Uniform); pbeta(0.8,10,10) = 0.9984", +"between two values, for example between(1:5, 3,4) is FALSE, FALSE, TRUE, TRUE, FALSE": "between two values, for example between(1:5, 3,4) is FALSE, FALSE, TRUE, TRUE, FALSE", +"binomial coefficient. For example choose(7,4) = 7!/(4!*3!) = 35": "binomial coefficient. For example choose(7,4) = 7!/(4!*3!) = 35", +"binomial probabilities. For example pbinom(3,5,0.4) = 0.0.913": "binomial probabilities. For example pbinom(3,5,0.4) = 0.0.913", +"c( ) and rep or seq can be combined as shown here. Try also c(rep(1:5,each=2),seq(6,100,length=20)) regular sequence of dates. Alternatively use Prepare > Column: Date > Generate Dates": "c( ) and rep or seq can be combined as shown here. Try also c(rep(1:5,each=2),seq(6,100,length=20)) regular sequence of dates. Alternatively use Prepare > Column: Date > Generate Dates", +"c( ) produces a vector. Here it produces a variable (column) of 30 values between 0 and 28 seq produces a regular sequence. Here from 30 down to 1 in steps of -1": "c( ) produces a vector. Here it produces a variable (column) of 30 values between 0 and 28 seq produces a regular sequence. Here from 30 down to 1 in steps of -1", +"change from degrees to radians. For example rad(90) = 2*pi * 90/360 = 1.57 ( = pi/2)": "change from degrees to radians. For example rad(90) = 2*pi * 90/360 = 1.57 ( = pi/2)", +"chi square probabilities. For example pchisq(5,1) = 0.9747; pchisq(5,10) = 0.1088": "chi square probabilities. For example pchisq(5,1) = 0.9747; pchisq(5,10) = 0.1088", +"chi square quantiles. For example qchisq(0.95, 1) = 3.841; qchisq(0.95, 10) = 18.31": "chi square quantiles. For example qchisq(0.95, 1) = 3.841; qchisq(0.95, 10) = 18.31", +"colon is from:to(:). For example 3:6 is 3, 4, 5, 6. 6:3 is 6, 5, 4, 3 (It is the seq function with a step-length of 1 or -1.)": "colon is from:to(:). For example 3:6 is 3, 4, 5, 6. 6:3 is 6, 5, 4, 3 (It is the seq function with a step-length of 1 or -1.)", +"cosine of angle in radians. For example cos(pi) = -1, cos(rad(90)) = (almost) 0.": "cosine of angle in radians. For example cos(pi) = -1, cos(rad(90)) = (almost) 0.", +"cumulative maxima. For example cummax(c(3,2,1,4,0)) = (3,3,3,4,4)": "cumulative maxima. For example cummax(c(3,2,1,4,0)) = (3,3,3,4,4)", +"cumulative means. For example cummean(c(3,2,1,4,0)) = (3,2.5,2,2.5,2)": "cumulative means. For example cummean(c(3,2,1,4,0)) = (3,2.5,2,2.5,2)", +"cumulative minima. For example cummin(c(3,2,1,4,0)) = (3,2.,1,1,0)": "cumulative minima. For example cummin(c(3,2,1,4,0)) = (3,2.,1,1,0)", +"cumulative sums. For example cumsum(c(3,2,1,4,0)) = (3,5,6,10,10)": "cumulative sums. For example cumsum(c(3,2,1,4,0)) = (3,5,6,10,10)", +"dense ranks. For example d_rank(c(15,11,13,12,NA,12)) = (4,1,3,2,NA,2)": "dense ranks. For example d_rank(c(15,11,13,12,NA,12)) = (4,1,3,2,NA,2)", +"difference between successive elements. For example diff(c(1,4,3,7)) = (NA 3,-1,4)": "difference between successive elements. For example diff(c(1,4,3,7)) = (NA 3,-1,4)", +"digamma function. For example digamma(1) = -0.5772 (Euler's constant)": "digamma function. For example digamma(1) = -0.5772 (Euler's constant)", +"div operator(%/%)is for integer division. For example (7 %/% 3) is 2, (13 %/% 3) is 4": "div operator(%/%)is for integer division. For example (7 %/% 3) is 2, (13 %/% 3) is 4", +"duplicate detects non-unique values, for example duplicated(c(1:3,2,7)) gives FALSE, FALSE, FALSE, TRUE, FALSE": "duplicate detects non-unique values, for example duplicated(c(1:3,2,7)) gives FALSE, FALSE, FALSE, TRUE, FALSE", +"e.g. forcats::as_factor(": "e.g. forcats::as_factor(", +"factorial. For example factorial(4) = 4*3*2*1 = 24; factorial(3.5) = gamma(4.5) = 11.63": "factorial. For example factorial(4) = 4*3*2*1 = 24; factorial(3.5) = gamma(4.5) = 11.63", +"fills missing values at the start, middle and end. For example na.fill(c(NA,2,NA,4,5,NA),fill=": "fills missing values at the start, middle and end. For example na.fill(c(NA,2,NA,4,5,NA),fill=", +"gamma function. For example gamma(8) = fact(7) = 5040": "gamma function. For example gamma(8) = fact(7) = 5040", +"gamma probabilities. For example pgamma(2,1,1) = 0.8647; (Exponential) pgamma(2,10,10) = 0.995": "gamma probabilities. For example pgamma(2,1,1) = 0.8647; (Exponential) pgamma(2,10,10) = 0.995", +"gamma quantiles. For example qgamma(0.95,1,1) = 2.995; qgamma( 0.95,10,10) = 1.571": "gamma quantiles. For example qgamma(0.95,1,1) = 2.995; qgamma( 0.95,10,10) = 1.571", +"greater or equals to(>=). For example (2 >= 3) is FALSE, (2 >=2) is TRUE, (2 >= 1) is TRUE": "greater or equals to(>=). For example (2 >= 3) is FALSE, (2 >=2) is TRUE, (2 >= 1) is TRUE", +"greater than(>). For example (2 > 3) is FALSE, (2 > 2) is FALSE, (2 > 1) is TRUE": "greater than(>). For example (2 > 3) is FALSE, (2 > 2) is FALSE, (2 > 1) is TRUE", +"integer below the given value. For example floor(3.5)=3; floor(-3.5) = -4.": "integer below the given value. For example floor(3.5)=3; floor(-3.5) = -4.", +"is what it says, for example ifelse((1:5 > 3,20,10) gives 10, 10, 10, 20, 20": "is what it says, for example ifelse((1:5 > 3,20,10) gives 10, 10, 10, 20, 20", +"is.na detects missing values, for example is.na(c(1,3,NA, 5)) gives FALSE, FALSE, TRUE, FALSE": "is.na detects missing values, for example is.na(c(1,3,NA, 5)) gives FALSE, FALSE, TRUE, FALSE", +"less than or equals(<=). For example (2 <= 3) is TRUE, (2 <=2) is TRUE, (2 <= 1) is FALSE": "less than or equals(<=). For example (2 <= 3) is TRUE, (2 <=2) is TRUE, (2 <= 1) is FALSE", +"less than(<). For example (2 < 3) is TRUE. (2 < 2) is FALSE, (2 < 1) is FALSE": "less than(<). For example (2 < 3) is TRUE. (2 < 2) is FALSE, (2 < 1) is FALSE", +"linear interpolation of missing values. For example na.approx(c(5,NA,NA,2,2,NA,4,7,NA),maxgap=1,na.rm=FALSE) = (5,NA,NA,2,2,3,4,7,NA)": "linear interpolation of missing values. For example na.approx(c(5,NA,NA,2,2,NA,4,7,NA),maxgap=1,na.rm=FALSE) = (5,NA,NA,2,2,3,4,7,NA)", +"log beta function. For example lbeta(100,40) = -84.51": "log beta function. For example lbeta(100,40) = -84.51", +"log binomial coefficient. For example lchoose(700,400) = 474.5": "log binomial coefficient. For example lchoose(700,400) = 474.5", +"log factorial. For example lfactorial(400) = 2001": "log factorial. For example lfactorial(400) = 2001", +"logarithm to base 10. For example log10(1000) =3 (=10^3)": "logarithm to base 10. For example log10(1000) =3 (=10^3)", +"logical NOT(!). For example !(2 < 3) is FALSE, !(2 < 1) is TRUE": "logical NOT(!). For example !(2 < 3) is FALSE, !(2 < 1) is TRUE", +"logical OR(|). For example (2 < 3) | (2 < 1) is the same as (TRUE | FALSE) which is TRUE": "logical OR(|). For example (2 < 3) | (2 < 1) is the same as (TRUE | FALSE) which is TRUE", +"logical equals(==). For example (2 == 3) is FALSE, (2 == 2) is TRUE, (2 == 1) is FALSE": "logical equals(==). For example (2 == 3) is FALSE, (2 == 2) is TRUE, (2 == 1) is FALSE", +"minimum of a set of variables. For examples pmin(c(1,3,5),c(6,4,2)) = (1,3,2)": "minimum of a set of variables. For examples pmin(c(1,3,5),c(6,4,2)) = (1,3,2)", +"modulus operator(%%)gives the remainder after integer division. For example 7 %% 3 is 1, 12 %% 3 is 0": "modulus operator(%%)gives the remainder after integer division. For example 7 %% 3 is 1, 12 %% 3 is 0", +"month.abb[1:4] is ": "month.abb[1:4] is ", +"moving (or rolling) maxima. For example rollmax(x=c(3,2,1,4,0) ,3,fill=NA, align=": "moving (or rolling) maxima. For example rollmax(x=c(3,2,1,4,0) ,3,fill=NA, align=", +"moving (or rolling) mean. For example rollmean(c(3,2,1,6,2) ,3,fill=NA) = (NA,2,3,3,NA)": "moving (or rolling) mean. For example rollmean(c(3,2,1,6,2) ,3,fill=NA) = (NA,2,3,3,NA)", +"moving (or rolling) medians. For example rollmedian(c(3,2,1,6,2) ,3,fill=NA) = (NA,2,2,2,NA)": "moving (or rolling) medians. For example rollmedian(c(3,2,1,6,2) ,3,fill=NA) = (NA,2,2,2,NA)", +"moving (or rolling) minima. For example rollapply(c(3,2,1,6,2),width=3,fill=NA, FUN=min) = (NA,1,1,1,NA)": "moving (or rolling) minima. For example rollapply(c(3,2,1,6,2),width=3,fill=NA, FUN=min) = (NA,1,1,1,NA)", +"moving (or rolling) totals. For example rollsum(c(3,2,1,4,0) ,3,fill=NA, align=": "moving (or rolling) totals. For example rollsum(c(3,2,1,4,0) ,3,fill=NA, align=", +"near(x,y)compares 2 variables. For example sqrt(5)^2 is almost, but isn't exactly 5, however near(sqrt(5)^2,5) is TRUE": "near(x,y)compares 2 variables. For example sqrt(5)^2 is almost, but isn't exactly 5, however near(sqrt(5)^2,5) is TRUE", +"negative binomial probabilities. For example pnbinom(4,1,0.4) = 0.922 (geometric); pnbinom(13,5,0.4) = 0.9058": "negative binomial probabilities. For example pnbinom(4,1,0.4) = 0.922 (geometric); pnbinom(13,5,0.4) = 0.9058", +"negative binomial quantiles. For example qnbinom(0.9,1,0.4) = 4 (geometric); qnbinom(0.9, 5,0.4) = 13": "negative binomial quantiles. For example qnbinom(0.9,1,0.4) = 4 (geometric); qnbinom(0.9, 5,0.4) = 13", +"not equals(!= )(opposite of ==). For example (2 != 3) is TRUE, (2 != 2) is FALSE and (2 != 1) is TRUE)": "not equals(!= )(opposite of ==). For example (2 != 3) is TRUE, (2 != 2) is FALSE and (2 != 1) is TRUE)", +"numeric value, with the exponent to be used in the computation of the modified index of agreement. The default value is j=1": "numeric value, with the exponent to be used in the computation of the modified index of agreement. The default value is j=1", +"pi = 3.14159": "pi = 3.14159", +"power(^)or exponent and can also be given as **. For example 2^3 = 8": "power(^)or exponent and can also be given as **. For example 2^3 = 8", +"qnormal quantiles. For example qnorm(0.05) = -1.6449; qnorm(0.9772, 100,15) = 130": "qnormal quantiles. For example qnorm(0.05) = -1.6449; qnorm(0.9772, 100,15) = 130", +"regular sequence of dates. Alternatively use Prepare > Column: Date > Generate Dates": "regular sequence of dates. Alternatively use Prepare > Column: Date > Generate Dates", +"rep repeats one or more values as shown here. Try also rep(1:5, each =6) and rep((1:5,length = 30)": "rep repeats one or more values as shown here. Try also rep(1:5, each =6) and rep((1:5,length = 30)", +"rescale of minimum ranks to [0,1]. For example percent_rank(c(15,11,13,12,NA,12)) = (1,0,0.75,0.25,NA,0.25)": "rescale of minimum ranks to [0,1]. For example percent_rank(c(15,11,13,12,NA,12)) = (1,0,0.75,0.25,NA,0.25)", +"round(x) to round to whole numbers, round(x,2) to round to 2 decimal places, round(x,-2) to round to the nearest 100": "round(x) to round to whole numbers, round(x,2) to round to 2 decimal places, round(x,-2) to round to the nearest 100", +"row numbers as ranks. For example :row_number(c(15,11,13,12,NA,12)) = (5,1,3,2,NA,3)": "row numbers as ranks. For example :row_number(c(15,11,13,12,NA,12)) = (5,1,3,2,NA,3)", +"seq produces a regular sequence. Here from 30 down to 1 in steps of -1": "seq produces a regular sequence. Here from 30 down to 1 in steps of -1", +"signif(x,3) to round to 3 significant figures": "signif(x,3) to round to 3 significant figures", +"simultaneous birthday probabilities. For example pbirthday(10) = 0.1169 ; pbirthday(50) = 0.97": "simultaneous birthday probabilities. For example pbirthday(10) = 0.1169 ; pbirthday(50) = 0.97", +"simultaneous birthday quantiles. For example qbirthday(0.5) = 23, qbirthday(0.99) = 57": "simultaneous birthday quantiles. For example qbirthday(0.5) = 23, qbirthday(0.99) = 57", +"sine of angle in radians. For example sin(pi/2) = sin(rad(90)) = 1.": "sine of angle in radians. For example sin(pi/2) = sin(rad(90)) = 1.", +"square root. For example sqrt(3) = 3 ^ 0.5 = 1.732": "square root. For example sqrt(3) = 3 ^ 0.5 = 1.732", +"t quantiles. For example qt(0.05, 5) = -2.015; qt(0.05, 100) = -1.66": "t quantiles. For example qt(0.05, 5) = -2.015; qt(0.05, 100) = -1.66", +"trigamma function. For example trigamma(1) = 1.645 (pi*pi/6)": "trigamma function. For example trigamma(1) = 1.645 (pi*pi/6)", +"when is multiple ifelse, for example case_when(1:5>320,1:5>110) gives NA, 10, 10, 20, 20": "when is multiple ifelse, for example case_when(1:5>320,1:5>110) gives NA, 10, 10, 20, 20", +"which gives the indices of a logical variable. For example which(11:15>13) gives 4, 5. Note the result is usually not the same length as the original variable.": "which gives the indices of a logical variable. For example which(11:15>13) gives 4, 5. Note the result is usually not the same length as the original variable.", +"Open From Library": "Open From Library", +"Edit Last Dialog": "Edit Last Dialog", +"Last 10 Dialogs": "Last 10 Dialogs", +"View Last Graph": "View Last Graph", +"Data View": "Data View", +"Output Window": "Output Window", +"Column Metadata": "Column Metadata", +"Log Window": "Log Window", +"Reset to Default Layout": "Reset to Default Layout", +"View Interactive Plot": "View Interactive Plot", +"Data Frame Metadata": "Data Frame Metadata", +"Script Window": "Script Window"} \ No newline at end of file diff --git a/instat/translations/translationsManuallyEntered.csv b/instat/translations/translationsManuallyEntered.csv index 2e549af1c62..dd54019b9ee 100644 --- a/instat/translations/translationsManuallyEntered.csv +++ b/instat/translations/translationsManuallyEntered.csv @@ -16,3 +16,15 @@ Shape,en,Shape Shape1,en,Shape1 Shape2,en,Shape2 Standard_deviation,en,Std Deviation +Open From Library,en,Open From Library +Edit Last Dialog,en,Edit Last Dialog +Last 10 Dialogs,en,Last 10 Dialogs +View Last Graph,en,View Last Graph +Data View,en,Data View +Output Window,en,Output Window +Column Metadata,en,Column Metadata +Log Window,en,Log Window +Reset to Default Layout,en,Reset to Default Layout +View Interactive Plot,en,View Interactive Plot +Data Frame Metadata,en,Data Frame Metadata +Script Window,en,Script Window