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, ...)Arguments
- x
a
kmeans()object- digits
number of digits for the numeric columns
- ...
unused argument
See also
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()
Examples
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