r

问题 I am having trouble to prepare a summary table using dplyr based on the data set below: set.seed(1) df <- data.frame(rep(sample(c(2012,2016),10, replace = T)), sample(c('Treat','Control'),10,replace = T), runif(10,0,1), runif(10,0,1), runif(10,0,1)) colnames(df) <- c('Year','Group','V1','V2','V3') I want to calculate the mean, median, standard deviation and count the number of observations by each combination of Year and Group . I have successfully used this code to get mean , median and sd :

问题 I am having trouble to prepare a summary table using dplyr based on the data set below: set.seed(1) df <- data.frame(rep(sample(c(2012,2016),10, replace = T)), sample(c('Treat','Control'),10,replace = T), runif(10,0,1), runif(10,0,1), runif(10,0,1)) colnames(df) <- c('Year','Group','V1','V2','V3') I want to calculate the mean, median, standard deviation and count the number of observations by each combination of Year and Group . I have successfully used this code to get mean , median and sd :

问题 I am having trouble to prepare a summary table using dplyr based on the data set below: set.seed(1) df <- data.frame(rep(sample(c(2012,2016),10, replace = T)), sample(c('Treat','Control'),10,replace = T), runif(10,0,1), runif(10,0,1), runif(10,0,1)) colnames(df) <- c('Year','Group','V1','V2','V3') I want to calculate the mean, median, standard deviation and count the number of observations by each combination of Year and Group . I have successfully used this code to get mean , median and sd :

问题 In a data.frame , I have a categorical variable for the language of a text. But, while most texts are only in one language, some have multiple languages. In my data, they appear in the same column, divided by comas: text = c("Text1", "Text2", "Text3") lang = c("fr", "en", "fr,en") d = data.frame(text, lang) Visually: text lang 1 Text1 fr 2 Text2 en 3 Text3 fr,en I'd like to plot the number of texts in each language, with Text3 being counted both in fr and in en . I found how to split, with: d

问题 In a data.frame , I have a categorical variable for the language of a text. But, while most texts are only in one language, some have multiple languages. In my data, they appear in the same column, divided by comas: text = c("Text1", "Text2", "Text3") lang = c("fr", "en", "fr,en") d = data.frame(text, lang) Visually: text lang 1 Text1 fr 2 Text2 en 3 Text3 fr,en I'd like to plot the number of texts in each language, with Text3 being counted both in fr and in en . I found how to split, with: d

问题 It used to be possible to put text on plot margins by turning off clipping. In ggplot2_2.2.0 this doesn't seem to be possible anymore in plots that use facets (but still works if no facets are used). I've posted an issue here but it has not been addressed yet. Any ideas for workarounds in the meantime would be greatly appreciated! Here is a minimal (non-)working example: library(ggplot2) library(grid) df.plot = data.frame(x = 1, y = 1, facet = 'facet', stringsAsFactors = F) df.text = data

问题 Closed. This question is not reproducible or was caused by typos. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 2 years ago . Improve this question I'm trying to convert my datetime from a csv to POSIXct for data analysis. I've tried multiple codes but either get NA or a wrong format. The code I'm currently using is GRS$datetimelocal<- GRS$`datetime` %>% ymd_hms(tz="UTC") %>% # first convert the `Date and

问题 Closed. This question is not reproducible or was caused by typos. It is not currently accepting answers. Want to improve this question? Update the question so it's on-topic for Stack Overflow. Closed 2 years ago . Improve this question I'm trying to convert my datetime from a csv to POSIXct for data analysis. I've tried multiple codes but either get NA or a wrong format. The code I'm currently using is GRS$datetimelocal<- GRS$`datetime` %>% ymd_hms(tz="UTC") %>% # first convert the `Date and

问题 Given a fix path and a very limited directories from year. I'm trying to obtain each combination of path between this initial combination ( fixPath - year ) and the different, non-fixed and non-equally quantity , subdirectories contained in each combination of fixPath - year fixPath <- "C:/Users/calcazar/Desktop/example" year <- 2008:2010 pathVector <- paste(fixPath, year, sep = "/") pathVector [1] "C:/Users/calcazar/Desktop/example/2008" "C:/Users/calcazar/Desktop/example/2009" [3] "C:/Users

问题 Given a fix path and a very limited directories from year. I'm trying to obtain each combination of path between this initial combination ( fixPath - year ) and the different, non-fixed and non-equally quantity , subdirectories contained in each combination of fixPath - year fixPath <- "C:/Users/calcazar/Desktop/example" year <- 2008:2010 pathVector <- paste(fixPath, year, sep = "/") pathVector [1] "C:/Users/calcazar/Desktop/example/2008" "C:/Users/calcazar/Desktop/example/2009" [3] "C:/Users