Question In R, can I used a vector that holds the names of data frame columns to avoid repeated code? vec_columns <- c("col1", "col2", "col8", "col54") Bac
I'd like to remove any string that ends in either of 2 characters in a pipe. In this example it's ".o" or ".t". Some of them get removed, but not all of them, a
here my reproducible example mydat=structure(list(supplier = c("TKP", "TKP", "TKP", "TKP", "TKP", "TKP", "TKP", "TKP", "TKP", "TKP", "TKP", "TKP", "TKP",
This is similar to this. However what I'm interested is to calculate the percentage for every column. So for example when I do the below I can calculate column
For the unique pair of ID, if both corresponding rows are 0, I need to remove them. In this case, remove row #5 and #6 but not row #7 and #8. tmt.pair <- c("
I have a large amount of annual data in a data frame that will only get larger. I would like to organize it, grouping columns according to the year, which is
I've been trying to accomplish this in dplyr but not been able to figure it out. In one data frame (df1) I have columns with values. |A |B | |23 |43 | |24 |11
I have a data set that looks something like this data set example I am trying to find unique entries in each of the columns I managed to do it for 1 column util
Say that I have a dataset. date <- c("2004-02-01", "2004-03-05", "2004-08-09", "2004-08-13", "2004-10-20", "2004-11-02", "2008-01-05", "2008-02-03", "2008-08
I have created a simple dashboard (link here) to display some data in R using selectInput. How can I activate/deactivate a filter reactively, so that the output
I want to extract rows that must contain two or more partial strings. For example, suppose I have the following data.table df <- data.table(player = c('A', '
I have a code like that : library("survival") library("survminer") data("lung") res.cox <- coxph(Surv(time, status) ~ sex, data = lung) x<-confint(res.
Issue I have a dataframe of familial relationships coded with integers, where R01 is the relationship of person N to person 1, R02 their relationship to person
I am looking for a method that will look at each date in "Date A" and find the next nearest date after that value in "Date B" by ID (group_by). I then want to c
I'd like to add a new variable to a dataframe for plotting labels, as seen in the top voted answer here Here's the data: small <- structure(list(Site = stru
vertejumi_ceturksnos <- data.frame( Vertejumi = c("0", "1", "2", "3"), Pirmais = c(Pirmaiss), Otrais = c(Otraiss), Tresais = c(Tresaiss), Ce
If i have the following table: tibble(year = c("2020", "2020", "2020","2021", "2021", "2021"), website = c("facebook", "google", "youtube","facebook", "
I have a column which list timestamps and I am in need of converting that to corresponding date for all rows in that column. Listing the code below app21_csv &
I frequently use the dplyr piping to get a column from a tibble into a vector as below iris %>% .$Sepal.Length iris %>% .$Sepal.Length %>% cut(5) How
I have binary data in a dataframe with a time feature and I'm looking to produce a dataframe like below with a new column "duration since =1". I was able to fi