At first I tried:
Bank_sc <- preProcess(x = Bank,
method = c("center", "scale"),
select=c(Age, Experience, Income, Family, CCAvg, Education, Mortgage))
I have omitted one variable here, but it was standardized nonetheless. I cannot find any articles on the proper syntax to do this so please help.
You can use dplyr package
data <- data.frame(x= sample(1:100, 30), y = sample(1:100, 30), z= sample(1:100, 30))
head(data)
x y z
1 26 60 16
2 38 52 51
3 12 25 13
4 32 78 54
5 6 71 59
6 10 83 3
library(dplyr)
data <- data %>% mutate_at(vars(x, y), scale)
head(data)
x y z
1 -0.6630489 0.1550407 16
2 -0.2522096 -0.1088584 51
3 -1.1423613 -0.9995179 13
4 -0.4576293 0.7488137 54
5 -1.3477809 0.5179020 59
6 -1.2108345 0.9137507 3
Just scale the subset. No package needed. Example:
to_scale <- c('X2', 'X3')
dat[to_scale] <- scale(dat[to_scale])
dat
# X1 X2 X3
# 1 19.14806 0.7135746 0.8318253
# 2 19.37075 -1.8396140 -0.9339183
# 3 12.86140 0.3759499 -0.3961600
# 4 18.30448 0.5798603 0.8457129
# 5 16.41746 -0.4692167 0.9450476
# 6 15.19096 0.6394459 -1.2925074
Data:
set.seed(42)
dat <- data.frame(matrix(runif(30, 10, 20), 6, 3))
