create a data.frame summary for continuous variables
Usage
continuous_summary(
dat,
columns = NULL,
by = character(0),
hide_grouplabel = TRUE,
digits = 3
)Arguments
- dat
a data.frame
- columns
continuous variables to be summarized. If NULL all continuous variables are summarized.
- by
discrete variables to use as groups when summarizing.
- hide_grouplabel
if TRUE, group label will not be rendered, only level/value will be rendered.
- digits
the desired number of digits after the decimal point
Examples
ft_1 <- continuous_summary(iris, names(iris)[1:4],
by = "Species",
hide_grouplabel = FALSE
)
ft_1
Species
N
min.
q1
median
q3
max.
mean
sd
mad
# na
variable: Sepal.Length
setosa
50
4.300
4.800
5.000
5.200
5.800
5.006
0.352
0.297
0
versicolor
50
4.900
5.600
5.900
6.300
7.000
5.936
0.516
0.519
0
virginica
50
4.900
6.225
6.500
6.900
7.900
6.588
0.636
0.593
0
variable: Sepal.Width
setosa
50
2.300
3.200
3.400
3.675
4.400
3.428
0.379
0.371
0
versicolor
50
2.000
2.525
2.800
3.000
3.400
2.770
0.314
0.297
0
virginica
50
2.200
2.800
3.000
3.175
3.800
2.974
0.322
0.297
0
variable: Petal.Length
setosa
50
1.000
1.400
1.500
1.575
1.900
1.462
0.174
0.148
0
versicolor
50
3.000
4.000
4.350
4.600
5.100
4.260
0.470
0.519
0
virginica
50
4.500
5.100
5.550
5.875
6.900
5.552
0.552
0.667
0
variable: Petal.Width
setosa
50
0.100
0.200
0.200
0.300
0.600
0.246
0.105
0.000
0
versicolor
50
1.000
1.200
1.300
1.500
1.800
1.326
0.198
0.222
0
virginica
50
1.400
1.800
2.000
2.300
2.500
2.026
0.275
0.297
0