summarize all variables in r

To summarise all variables in R, you can use the summary() function. This function provides an overview of the statistical properties of each variable in a data frame. Here's an example:


main.r
# Create a sample data frame
my_data <- data.frame(
  var1 = c(1, 2, 3, NA, 5),
  var2 = c(2, 4, 6, 8, NA),
  var3 = c(NA, 5, 7, 9, 11)
)

# Use the summary function to summarise all variables
summary(my_data)
210 chars
10 lines

This will give you an output showing the minimum, 1st quartile, median, mean, 3rd quartile, and maximum values for each variable, as well as any missing or 'NA' values.


main.r
     var1            var2             var3     
 Min.   :1.000   Min.   :2.000   Min.   : 5.00  
 1st Qu.:2.000   1st Qu.:4.000   1st Qu.: 7.00  
 Median :3.000   Median :6.000   Median : 9.00  
 Mean   :2.75    Mean   :5.000   Mean   : 8.25  
 3rd Qu.:4.000   3rd Qu.:8.000   3rd Qu.:11.00  
 Max.   :5.000   Max.   :NA     Max.   :NA     
 NA's   :1       NA's   :1       NA's   :1
384 chars
9 lines

similar r code snippets

group by then summarize in r

read all files in a directory into a data frame, with a column recording filename in r

set the first row as headers in r

filter nycflights13 by month of july in r

check if column values have 90 percent overlap in vlaues in r

tidyverse overlap 90 percent column values in r

mutate a column via its name in r

in a dataframe where the concentration column goes 10, 5, 2, 1 repeatedly, reverse the order of the concentration column in r

read all files in a directory into a data frame, with a column recording filename using tidyverse in r

how to create a dataframe in r

related categories

descriptive statistics