Advertisements For the love of me, I don’t understand why this does not work: x = c(3, 5, 3, 100, 5, -9, 10, 24) x_summary <- summary(x) x_names <- names(x_summary) x_summary <- unname(x_summary) xdf <- data.frame(Statistics = x_names, Value = x_summary) I thought the named vector from using summary() was the issue at first. But… Read More Creating data frame from summary(); Error in dimnames(x) <- dnx : 'dimnames' applied to non-array

Advertisements I have a dataset that shows the walking speed of different age classes, measured in two different periods. Here is a reproducible example: Period<-rep(c(1,2),times=c(9,18)) Class<-rep(c("child","teen","adult","toddler","child","teen","adult"),times=c(2,3,4,3,4,5,6)) Speed<-c(2,3,3,4,5,5,4,4,6,1,0.7,0.3,1,2,3,2,2,5,5,4,2,3,5,4,6,5,4) data<-data.frame(Period,Class,Speed) Period Class Speed 1 1 child 2.0 2 1 child 3.0 3 1 teen 3.0 4 1 teen 4.0 5 1 teen 5.0 6 1 adult 5.0… Read More Efficiently create summary table with min, max, mean, SE and sample size by category

Advertisements I am assigning variable names programmatically in a custom function I am building in R. This is working fine. However if I then want to access that same variable in an ifelse() statement, it doesnt work. Basically, How can I translate this code: library(tidyverse) df %>% group_by(ID) %>% summarise( first_adopted_test_1 = ifelse(never_adopted , "never… Read More work with quoted variable names in a R summarize ifelse statement (programming in dplyr)