df.numeric.summary: Summary of Numeric Columns
In szintakacseva/mlhelper: What the Package Does (One Line, Title Case)
Description
Usage
Arguments
Value
Author(s)
See Also
Examples
Description
Generate specific summaries of numeric columns in a data frame
Usage
1
df.numeric.summary(x, na.rm = TRUE)
Arguments
x
A data frame. Non-numeric columns will be removed
na.rm
A logical indicating whether missing values should be removed
Value
This function returns a data.frame including columns:
id
min
q1
mean
median
q3
iqr
stdev
max
skewness
skew
Author(s)
Eva Szin Takacs, szin.takacs.eva@gmail.com
See Also
summary
Examples
1
2
df.numeric.summary(iris)
df.numeric.summary(airquality, na.rm = FALSE)
szintakacseva/mlhelper documentation built on June 4, 2019, 6:22 p.m.
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Description Usage Arguments Value Author(s) See Also Examples
Description
Generate specific summaries of numeric columns in a data frame
Usage
1 | df.numeric.summary(x, na.rm = TRUE)
|
Arguments
x |
A data frame. Non-numeric columns will be removed |
na.rm |
A logical indicating whether missing values should be removed |
Value
This function returns a data.frame including columns:
id
min
q1
mean
median
q3
iqr
stdev
max
skewness
skew
Author(s)
Eva Szin Takacs, szin.takacs.eva@gmail.com
See Also
summary
Examples
1 2 | df.numeric.summary(iris)
df.numeric.summary(airquality, na.rm = FALSE)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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