produce a flextable describing a kmeans object. The function is only using package 'broom' that provides the data presented in the resulting flextable.
Usage# S3 method for class 'kmeans'
as_flextable(x, digits = 4, ...)a kmeans() object
number of digits for the numeric columns
unused argument
Other as_flextable methods: as_flextable(), as_flextable.data.frame(), as_flextable.gam(), as_flextable.glm(), as_flextable.grouped_data(), as_flextable.htest(), as_flextable.lm(), as_flextable.merMod(), as_flextable.pam(), as_flextable.summarizor(), as_flextable.table(), as_flextable.tabular(), as_flextable.tabulator(), as_flextable.xtable()
if (require("stats")) {
cl <- kmeans(scale(mtcars[1:7]), 5)
ft <- as_flextable(cl)
ft
}
variable
1
2
3
4
5
withinss
5.4
7.8
12.8
0.7
20.1
size
5
6
7
3
11
mpg*
0.4130
1.6552
-0.0577
-1.3701
-0.6802
cyl*
-1.2249
-1.2249
-0.1050
1.0149
1.0149
disp*
-0.8343
-1.1624
-0.3825
1.8284
0.7580
hp*
-0.8093
-1.0383
-0.3559
1.0207
0.8823
drat*
0.4815
1.2252
-0.0203
-1.0160
-0.5972
wt*
-0.4459
-1.3738
-0.1023
2.1691
0.4256
qsec*
1.2173
0.3076
0.0719
-0.0609
-0.7502
(*) Centers
Total sum of squares: 217.0
Total within-cluster sum of squares: 46.8
Total between-cluster sum of squares: 170.2
BSS/TSS ratio: 78.4%
Number of iterations: 2
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