infoCategory: Information for Categorical Variables
In jkapila/vcvn: Variable Selection, Curve Fitting, Variable Conversion and Normalisation
Description
Usage
Arguments
Value
Examples
Description
Information for Categorical Variables
Usage
1
infoCategory(data, numFactors = 20)
Arguments
data
A dat frame with variables
numFactors
possible number of factors for a character variables
Value
a data frame with summary for categorical variables
Examples
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df <- data.frame(NormalFactor = as.factor(sample(LETTERS[2:10],100,replace = T)),
VeryLargeFactors = as.factor(sample(LETTERS,100,replace = T)),
NormalCharacters = sample(LETTERS[2:20],100,replace = T),
VeryLargeCharacters = sample(c(LETTERS,letters),100,replace = T))
infoCategory(df)
infoCategory(df,length(c(LETTERS,letters)))
jkapila/vcvn documentation built on May 19, 2019, 4:05 p.m.
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Description Usage Arguments Value Examples
Description
Information for Categorical Variables
Usage
1 | infoCategory(data, numFactors = 20)
|
Arguments
data |
A dat frame with variables |
numFactors |
possible number of factors for a character variables |
Value
a data frame with summary for categorical variables
Examples
1 2 3 4 5 6 7 | df <- data.frame(NormalFactor = as.factor(sample(LETTERS[2:10],100,replace = T)),
VeryLargeFactors = as.factor(sample(LETTERS,100,replace = T)),
NormalCharacters = sample(LETTERS[2:20],100,replace = T),
VeryLargeCharacters = sample(c(LETTERS,letters),100,replace = T))
infoCategory(df)
infoCategory(df,length(c(LETTERS,letters)))
|
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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