Creating a summary statistical table from a data frame

Question

I have the following data frame (df) of 29 observations of 5 variables:

    age   height_seca1 height_chad1 height_DL weight_alog1
1   19         1800                


        

Answer 1

You can use lapply to go over each column and an anonymous function to do each of your calculations:

res <- lapply( mydf , function(x) rbind( mean = mean(x) ,
                                  sd = sd(x) ,
                                  median = median(x) ,
                                  minimum = min(x) ,
                                  maximum = max(x) ,
                                  s.size = length(x) ) )

data.frame( res )
#              age height_seca1 height_chad1  height_DL weight_alog1
#mean    20.413793   1737.24138   1736.48276 173.379310     73.41379
#sd       3.300619     91.91947     92.68249   9.685828     14.54185
#median  19.000000   1755.00000   1755.00000 175.000000     71.00000
#minimum 17.000000   1569.00000   1570.00000 155.000000     50.00000
#maximum 31.000000   1877.00000   1880.00000 188.000000    106.00000
#s.size  29.000000     29.00000     29.00000  29.000000     29.00000