Converting numbers into categories in R

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4

In my database, I have a Variable TP_CorRaca with values 0,1,2,3,4,5. Each number corresponds to a color.

Example: 0 - White 1 - Black 2-brown ....

I want to make this match to use the lm ()

    
asked by anonymous 06.03.2017 / 09:55

2 answers

6

This is a case where the factors are useful. Just make your variable a factor.

Creating an example vector: 

set.seed(10)
exemplo_numero <- sample(0:5, 10, replace = TRUE)

You can use the factor() function explaining what each number is: 

exemplo_fator <- factor(exemplo_numero, 
                        levels = 0:5,
                        labels  = c("branco", "preto", "pardo", "amarelo", "indigena", "não declarado"))
exemplo_fator
[1] amarelo  preto    pardo    indigena branco   preto    preto    preto    amarelo  pardo   
Levels: branco preto pardo amarelo indigena não declarado
    
06.03.2017 / 10:32
2

It has the function recode of dplyr . Using the same example of @Carlos Cinelli 

set.seed(10)
exemplo_numero <- sample(0:5, 10, replace = TRUE)

library(dplyr)
recode(exemplo_numero, '0' = "branco", '1' = "preto",'2'= "pardo", 
       '3' = "amarelo", '4' = "indigena", '5' = "não declarado")
#> [1] "amarelo"  "preto"    "pardo"    "indigena" "branco"   "preto"    "preto"    "preto"    "amarelo"  "pardo"

Note that the numbers must be between "" the same as the crase accent. The legal of the recode function are the other parameters such as .default and .missing . 

x <- c(1:4, NA)
recode(x, '1' = "z", '2' = "y", .default = "D")
#> [1] "z" "y" "D" "D" NA 
recode(x, '1' = "z", '2' = "y", .default = "D", .missing = "M")
#> [1] "z" "y" "D" "D" "M"

The .default can be used to populate the values not mentioned in the code by some value. The .missing substitutes value NA by some value as well.

    
07.03.2017 / 14:35
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