The following code works for me when testing on mtcars
dataset.
library(sjmisc)
data <- mtcars
for (i in 1:ncol(data)) {
nam <- paste("descr", colnames(data[i]), sep = "_")
des = descr(data[,i])
assign(nam, des)
}
descr_disp
descr_disp
## Basic descriptive statistics
# var type label n NA.prc mean sd se md trimmed range iqr skew
# dd numeric dd 32 0 230.72 123.94 21.91 196.3 222.52 400.9 (71.1-472) 205.175 0.42
descr_carb
## Basic descriptive statistics
# var type label n NA.prc mean sd se md trimmed range iqr skew
# dd numeric dd 32 0 2.81 1.62 0.29 2 2.65 7 (1-8) 2 1.16
However, do you really want to create multiple such vectors when descr
function works on dataframes.
descr(data)
## Basic descriptive statistics
# var type label n NA.prc mean sd se md trimmed range iqr skew
# mpg numeric mpg 32 0 20.09 6.03 1.07 19.20 19.70 23.5 (10.4-33.9) 7.37500 0.67
# cyl numeric cyl 32 0 6.19 1.79 0.32 6.00 6.23 4 (4-8) 4.00000 -0.19
# disp numeric disp 32 0 230.72 123.94 21.91 196.30 222.52 400.9 (71.1-472) 205.17500 0.42
# hp numeric hp 32 0 146.69 68.56 12.12 123.00 141.19 283 (52-335) 83.50000 0.80
# drat numeric drat 32 0 3.60 0.53 0.09 3.70 3.58 2.17 (2.76-4.93) 0.84000 0.29
# wt numeric wt 32 0 3.22 0.98 0.17 3.33 3.15 3.91 (1.51-5.42) 1.02875 0.47
# qsec numeric qsec 32 0 17.85 1.79 0.32 17.71 17.83 8.4 (14.5-22.9) 2.00750 0.41
# vs numeric vs 32 0 0.44 0.50 0.09 0.00 0.42 1 (0-1) 1.00000 0.26
# am numeric am 32 0 0.41 0.50 0.09 0.00 0.38 1 (0-1) 1.00000 0.40
# gear numeric gear 32 0 3.69 0.74 0.13 4.00 3.62 2 (3-5) 1.00000 0.58
# carb numeric carb 32 0 2.81 1.62 0.29 2.00 2.65 7 (1-8) 2.00000 1.16