mix.binary: Binary coding of categorical variables
In hamlet: Hierarchical Optimal Matching and Machine Learning Toolbox
Description
Usage
Arguments
Details
Value
Author(s)
Examples
Description
This function encodes categorical variables (e.g. columns of type 'factor' or 'character'). U new columns are created per each such column, where U is the number of unique instances of that column. The new columns are named OriginalColumnName_U1, OriginalColumnName_U2, etc.
Usage
1
mix.binary(x)
Arguments
x
A data.frame or a matrix where categorical columns are to be binary coded. Categorical columns are assumed to be all non-numeric fields.
Details
A function that codes categorical variables in a dataset into binary variables. This is done in the following manner:
e.g. x = red, green, blue, green –> x_new = 1,0,0, 0,1,0, 0,0,1, 0,1,0 where the dimensions in x_new are is_red, is_green and is_blue
Value
The function returns a data.frame, where categorical variables have been replaced with 0/1-binary fields, and numeric fields have been left untouched. Notice that the order of the columns may not be the original.
Author(s)
Teemu Daniel Laajala <teelaa@utu.fi>
Examples
1
2
3
4
5
6
7
8
9
data(vcapwide)
ex <- mix.binary(vcapwide[,c("Group", "CastrationDate")])
apply(ex, MARGIN=1, FUN=sum)
# Notice that each row sums to 2, as two categorical variables were binary coded
# and no missing values were present
mix.binary(vcapwide[,c("PSAWeek4", "Group", "CastrationDate")])
# Binary coding is only applied to non-numeric fields
Example output
ID003 ID007 ID008 ID009 ID010 ID016 ID018 ID025 ID027 ID031 ID032 ID037 ID040
2 2 2 2 2 2 2 2 2 2 2 2 2
ID045 ID047 ID054 ID056 ID058 ID075 ID078 ID083 ID084 ID087 ID093 ID097 ID100
2 2 2 2 2 2 2 2 2 2 2 2 2
ID101 ID103 ID104 ID113 ID116 ID121 ID125 ID138 ID141 ID144 ID152 ID157 ID158
2 2 2 2 2 2 2 2 2 2 2 2 2
ID160 ID162 ID174 ID182 ID192 ID198
2 2 2 2 2 2
PSAWeek4 Group_Vehicle Group_MDV Group_ARN CastrationDate_100413
ID003 24.78 1 0 0 1
ID007 8.59 0 1 0 0
ID008 22.85 0 1 0 1
ID009 26.81 1 0 0 1
ID010 6.18 0 0 1 0
ID016 13.19 1 0 0 0
ID018 12.85 0 1 0 0
ID025 29.24 0 1 0 1
ID027 15.83 0 1 0 1
ID031 19.20 0 0 1 1
ID032 20.36 1 0 0 1
ID037 21.01 1 0 0 1
ID040 32.89 0 0 1 1
ID045 16.81 1 0 0 1
ID047 6.07 0 1 0 0
ID054 11.75 1 0 0 0
ID056 21.69 0 0 1 1
ID058 16.98 0 1 0 1
ID075 5.04 1 0 0 0
ID078 20.57 0 0 1 1
ID083 7.89 0 1 0 0
ID084 4.57 1 0 0 0
ID087 13.29 0 1 0 0
ID093 17.89 0 1 0 1
ID097 27.76 0 1 0 1
ID100 5.38 0 1 0 0
ID101 30.03 1 0 0 1
ID103 11.39 1 0 0 0
ID104 36.98 0 0 1 1
ID113 28.73 0 0 1 1
ID116 29.45 1 0 0 1
ID121 28.18 0 1 0 1
ID125 14.00 0 0 1 0
ID138 16.31 0 1 0 1
ID141 6.73 0 0 1 0
ID144 22.94 0 0 1 1
ID152 17.49 1 0 0 1
ID157 9.65 1 0 0 0
ID158 11.10 0 0 1 0
ID160 28.10 1 0 0 1
ID162 27.43 0 0 1 1
ID174 16.60 0 0 1 1
ID182 12.19 0 0 1 0
ID192 15.20 0 1 0 1
ID198 12.06 0 0 1 0
CastrationDate_170413
ID003 0
ID007 1
ID008 0
ID009 0
ID010 1
ID016 1
ID018 1
ID025 0
ID027 0
ID031 0
ID032 0
ID037 0
ID040 0
ID045 0
ID047 1
ID054 1
ID056 0
ID058 0
ID075 1
ID078 0
ID083 1
ID084 1
ID087 1
ID093 0
ID097 0
ID100 1
ID101 0
ID103 1
ID104 0
ID113 0
ID116 0
ID121 0
ID125 1
ID138 0
ID141 1
ID144 0
ID152 0
ID157 1
ID158 1
ID160 0
ID162 0
ID174 0
ID182 1
ID192 0
ID198 1
hamlet documentation built on May 1, 2019, 8:40 p.m.
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Description Usage Arguments Details Value Author(s) Examples
Description
This function encodes categorical variables (e.g. columns of type 'factor' or 'character'). U new columns are created per each such column, where U is the number of unique instances of that column. The new columns are named OriginalColumnName_U1, OriginalColumnName_U2, etc.
Usage
1 | mix.binary(x)
|
Arguments
x |
A data.frame or a matrix where categorical columns are to be binary coded. Categorical columns are assumed to be all non-numeric fields. |
Details
A function that codes categorical variables in a dataset into binary variables. This is done in the following manner: e.g. x = red, green, blue, green –> x_new = 1,0,0, 0,1,0, 0,0,1, 0,1,0 where the dimensions in x_new are is_red, is_green and is_blue
Value
The function returns a data.frame, where categorical variables have been replaced with 0/1-binary fields, and numeric fields have been left untouched. Notice that the order of the columns may not be the original.
Author(s)
Teemu Daniel Laajala <teelaa@utu.fi>
Examples
1 2 3 4 5 6 7 8 9 | data(vcapwide)
ex <- mix.binary(vcapwide[,c("Group", "CastrationDate")])
apply(ex, MARGIN=1, FUN=sum)
# Notice that each row sums to 2, as two categorical variables were binary coded
# and no missing values were present
mix.binary(vcapwide[,c("PSAWeek4", "Group", "CastrationDate")])
# Binary coding is only applied to non-numeric fields
|
Example output
ID003 ID007 ID008 ID009 ID010 ID016 ID018 ID025 ID027 ID031 ID032 ID037 ID040
2 2 2 2 2 2 2 2 2 2 2 2 2
ID045 ID047 ID054 ID056 ID058 ID075 ID078 ID083 ID084 ID087 ID093 ID097 ID100
2 2 2 2 2 2 2 2 2 2 2 2 2
ID101 ID103 ID104 ID113 ID116 ID121 ID125 ID138 ID141 ID144 ID152 ID157 ID158
2 2 2 2 2 2 2 2 2 2 2 2 2
ID160 ID162 ID174 ID182 ID192 ID198
2 2 2 2 2 2
PSAWeek4 Group_Vehicle Group_MDV Group_ARN CastrationDate_100413
ID003 24.78 1 0 0 1
ID007 8.59 0 1 0 0
ID008 22.85 0 1 0 1
ID009 26.81 1 0 0 1
ID010 6.18 0 0 1 0
ID016 13.19 1 0 0 0
ID018 12.85 0 1 0 0
ID025 29.24 0 1 0 1
ID027 15.83 0 1 0 1
ID031 19.20 0 0 1 1
ID032 20.36 1 0 0 1
ID037 21.01 1 0 0 1
ID040 32.89 0 0 1 1
ID045 16.81 1 0 0 1
ID047 6.07 0 1 0 0
ID054 11.75 1 0 0 0
ID056 21.69 0 0 1 1
ID058 16.98 0 1 0 1
ID075 5.04 1 0 0 0
ID078 20.57 0 0 1 1
ID083 7.89 0 1 0 0
ID084 4.57 1 0 0 0
ID087 13.29 0 1 0 0
ID093 17.89 0 1 0 1
ID097 27.76 0 1 0 1
ID100 5.38 0 1 0 0
ID101 30.03 1 0 0 1
ID103 11.39 1 0 0 0
ID104 36.98 0 0 1 1
ID113 28.73 0 0 1 1
ID116 29.45 1 0 0 1
ID121 28.18 0 1 0 1
ID125 14.00 0 0 1 0
ID138 16.31 0 1 0 1
ID141 6.73 0 0 1 0
ID144 22.94 0 0 1 1
ID152 17.49 1 0 0 1
ID157 9.65 1 0 0 0
ID158 11.10 0 0 1 0
ID160 28.10 1 0 0 1
ID162 27.43 0 0 1 1
ID174 16.60 0 0 1 1
ID182 12.19 0 0 1 0
ID192 15.20 0 1 0 1
ID198 12.06 0 0 1 0
CastrationDate_170413
ID003 0
ID007 1
ID008 0
ID009 0
ID010 1
ID016 1
ID018 1
ID025 0
ID027 0
ID031 0
ID032 0
ID037 0
ID040 0
ID045 0
ID047 1
ID054 1
ID056 0
ID058 0
ID075 1
ID078 0
ID083 1
ID084 1
ID087 1
ID093 0
ID097 0
ID100 1
ID101 0
ID103 1
ID104 0
ID113 0
ID116 0
ID121 0
ID125 1
ID138 0
ID141 1
ID144 0
ID152 0
ID157 1
ID158 1
ID160 0
ID162 0
ID174 0
ID182 1
ID192 0
ID198 1
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