Reputation:
Could anyone explain how to change the negative values in the below dataframe?
we have been asked to create a data structure to get the below output.
# > df
# x y z
# 1 a -2 3
# 2 b 0 4
# 3 c 2 -5
# 4 d 4 6
Then we have to use control flow operators and/or vectorisation to multiply only the negative values by 10.
I tried so many different ways but cannot get this to work. I get an error when i try to use a loop and because of the letters.
Upvotes: 0
Views: 183
Reputation: 51592
Create indices of the negative values and multiply by 10, i.e.
i1 <- which(df < 0, arr.ind = TRUE)
df[i1] <- as.numeric(df[i1]) * 10
# x y z
#1 a -20 3
#2 b 0 4
#3 c 2 -50
#4 d 4 6
Upvotes: 2
Reputation: 388982
First find out the numeric columns of the dataframe and multiply the negative values by 10.
cols <- sapply(df, is.numeric)
#Multiply negative values by 10 and positive with 1
df[cols] <- df[cols] * ifelse(sign(df[cols]) == -1, 10, 1)
df
# x y z
#1 a -20 3
#2 b 0 4
#3 c 2 -50
#4 d 4 6
Using dplyr
-
library(dplyr)
df <- df %>% mutate(across(where(is.numeric), ~. * ifelse(sign(.) == -1, 10, 1)))
Upvotes: 0