mutate

I'm a new R user. I've been trying to compute the time difference between two time points, and calculate a percentage value (habitual_efficiency). Using this percentage value, I need to assign specific value to a new variable (i). time_difference1 <- as.numeric(difftime(strptime(var$psqi_1_bedtime, "%H:%M"), strptime(var$psqi_3_waketime, "%H:%M"))) timedifference <- abs (24 - time_difference1) var4 <- data.frame (habitual_efficiency = 1: nrow(var)) transmute (var, habitual_efficiency = (var$psqi_4_sleeptime*100/timedifference)) var4 <- data.frame (comp4score = 1: nrow(var)) var4 <- var4 %>%

I'm trying to return a list using mutate and rowwise but get the error shown in the code. These questions Q1 Q2 helped, but I'd like to keep it simple by iterating over rows using rowwise() , and the questions are 3yr 7mth old. Thanks. library(tidyverse) df <- data.frame(Name=c("a","a","b","b","c"),X=c(1,2,3,4,5), Y=c(2,3,4,2,2)) TestFn <- function(X,Y){ Z <- list(X*5,Y/2,X+Y,X*2+5*Y) return (Z) } #this works SingleResult <- TestFn(5,20) #error - Error in mutate_impl(.data, dots) : incompatible size (4), expecting 1 (the group size) or 1 dfResult <- df %>% rowwise() %>% mutate(R=TestFn(X,Y))

mutate_at() shows an evaluation error when used with group_by() and when imputing a numerical vector for column position as the first (.vars) argument. Issue shows up when using R 3.4.2 and dplyr 0.7.4 version Works fine when using R 3.3.2 and dplyr 0.5.0 Works fine if .vars is character vector (column name) Example: # Create example dataframe Id <- c('10_1', '10_2', '11_1', '11_2', '11_3', '12_1') Month <- c(2, 3, 4, 6, 7, 8) RWA <- c(0, 0, 0, 1.579, NA, 0.379) dftest = data.frame(Id, Month, RWA) # Define column to fill NAs nacol = c('RWA') # Fill NAs with last period dftest_2 <- dftest %>%

I am having serious troubles using the tidyverse package that I cannot debug. As an example, "mutate" does not work properly even on past project I have already produced. This all started when I installed the following package: library(pdftools) library(tm) library(stringi) library(tidyverse) (or library(dplyr) library(tidyr)) library(purrr) ) And it still remains when I do a rm(list=ls()) . The only thing I haven't tried so forth is deinstalling R/RStudio and reinstalling it. I use RStudio version 1.0.153 and R version 3.4.1. I actually tried to reproduce the bug on other computers and this