i try to get skewness for every row datafarme with
library(moments)
install.packages("FactoMineR")
data <-read.csv("data.csv",header=TRUE,sep=";",dec="."=)
My dataframe:
df <- structure(list(Marque = c("x1", "x2", "x3", "x4", "x5", "x6",
"x7", "x8", "x9"), V1 = c("2", "3", "1,5", "1,2", "1,9", "3,5",
"3,3", "4", "3,6"), V2 = c("2,4", "4", "3,4", "3,6", "1,6", "4,8",
"4,1", "3,5", "4,5"), V3 = c("1,7", "4,4", "3,8", "3,9", "3,4",
"4,5", "3,9", "4,3", "2,1"), V4 = c("2,3", "4,9", "4,7", "4,3",
"4", "4,6", "4,9", "2", "3,6"), V5 = c("3,3", "3,9", "2,3", "1,3",
"1,2", "3,9", "3,6", "3,3", "4")), class = "data.frame", row.names = c(NA,
-9L))
CodePudding user response:
You may apply
e1071::skewness
over MARGIN=1
i.e. rows.
apply(df[-1], MARGIN=1, e1071::skewness)
# [1] 0.53353911 -0.25708728 -0.09059249 -0.23259728 0.26626966 -0.34683620
# [7] 0.44701696 -0.56946469 -0.61043085
If you really have commas as decimal separators, clean beforehand:
df[2:6] <- lapply(df[2:6], \(x) as.numeric(gsub(',', '.', x)))
df <- structure(list(Marque = c("x1", "x2", "x3", "x4", "x5", "x6",
"x7", "x8", "x9"), V1 = c(2, 3, 1.5, 1.2, 1.9, 3.5, 3.3, 4, 3.6
), V2 = c(2.4, 4, 3.4, 3.6, 1.6, 4.8, 4.1, 3.5, 4.5), V3 = c(1.7,
4.4, 3.8, 3.9, 3.4, 4.5, 3.9, 4.3, 2.1), V4 = c(2.3, 4.9, 4.7,
4.3, 4, 4.6, 4.9, 2, 3.6), V5 = c(3.3, 3.9, 2.3, 1.3, 1.2, 3.9,
3.6, 3.3, 4)), row.names = c(NA, -9L), class = "data.frame")
CodePudding user response:
First change ,
to .
.
Then convert to numeric.
Then use skewness
function from moments
package with c_across
to apply it to each row use rowwise()
before:
library(dplyr)
library(moments)
df %>%
mutate(across(-1, ~str_replace(., ',', '.'))) %>%
type.convert(as.is = TRUE) %>%
rowwise() %>%
mutate(Skew = skewness(c_across(V1:V5)))
Marque V1 V2 V3 V4 V5 Skew
<chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 x1 2 2.4 1.7 2.3 3.3 0.746
2 x2 3 4 4.4 4.9 3.9 -0.359
3 x3 1.5 3.4 3.8 4.7 2.3 -0.127
4 x4 1.2 3.6 3.9 4.3 1.3 -0.325
5 x5 1.9 1.6 3.4 4 1.2 0.372
6 x6 3.5 4.8 4.5 4.6 3.9 -0.485
7 x7 3.3 4.1 3.9 4.9 3.6 0.625
8 x8 4 3.5 4.3 2 3.3 -0.796
9 x9 3.6 4.5 2.1 3.6 4 -0.853
CodePudding user response:
thanks a lot for your help I did it differently, and it works
vect1= c(1:5)
for(x in vect1)
{
print(x)
skew_test = skewness(data[,x])
print(skew_test)
}