This is my df: mydf <- structure(list(Action = c("Passes accurate", "Passes accurate", "Passes accurate", "Passes accurate", "Lost balls", "Lost balls (in o
I have a shiny application with numerous user inputs including numericInput and textInput and pickerInput. These inputs are used to filter a dataframe. In my fi
Let's say I had a survey question that read: What did you eat? [ ] apple [ ] pear [x] banana [x] grapes Now, I have the endorsed options as comma-separated st
Is it possible calculated stock using R? The formula is stock+purchase-sold. In this case first stock (row1) is 0, rg first result stockB1= 12 - 3 = 9 the secon
I've got a data frame that contains names that are grouped, like so: df <- data.frame(group = rep(letters[1:2], each=2), name = LETTERS[1:4
It seems like dplyr::pull() and dplyr::select() do the same thing. Is there a difference besides that dplyr::pull() only selects 1 variable?
I have a data frame that some rows that need to be further grouped by some of the overlapped values among rows col1, col2 a1, 2;3 a2, 2 a3, 3;4 a4, 4 a
I used the following function to find standard error of variables. but when I run the same function now, it is not working. st.err <- function(x) { sd(
I have data frame of 24525 rows and 22 columns. Last column is the ID column, other are numeric. Number of unique IDs is 18414 and some IDs are repeated more th
I have an example data set with a column that reads somewhat like this: Candy Sanitizer Candy Water Cake Candy Ice Cream Gum Candy Coffee What I'd like to do
I have an example data set with a column that reads somewhat like this: Candy Sanitizer Candy Water Cake Candy Ice Cream Gum Candy Coffee What I'd like to do
I am working with 'flights' dataset from 'nycflights13' package in R. I want to add a column which adds the total distance covered by each 'carrier' in 2013. I
If I load the MASS package: library(MASS) then load try to run dplyr::select, I get a error: library(dplyr) mtcars %.% select(mpg) # Error in select(`__pre
I'm working on a project that involves many different tibbles, all of which have a period variable of the format YYYYMM. Below is an example of how all my tibbl
I'm working on a project that involves many different tibbles, all of which have a period variable of the format YYYYMM. Below is an example of how all my tibbl
Why does this code not work? How can I benchmark these to expressions? library(data.table) library(dplyr) dt <- as.data.table(mtcars) (lb <- bench::mar