fctr: Convert labelled variable to factor

Description Usage Arguments Value See Also Examples

View source: R/fctr.R

Description

fctr converts variable to factor. It force labels usage as factor labels for labelled variables even if 'expss.enable_value_labels_support' set to 0. For other types of variables base factor is called. Factor levels are constructed as values labels. If label doesn't exist for particular value then this value remain as is - so there is no information lost. This levels look like as "Variable_label|Value label" if argument prepend set to TRUE.

Usage

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fctr(x, ..., drop_unused_labels = FALSE, prepend_var_lab = TRUE)

Arguments

x

a vector of data with labels.

...

optional arguments for factor

drop_unused_labels

logical. Should we drop unused value labels? Default is FALSE.

prepend_var_lab

logical. Should we prepend variable label before value labels? Default is TRUE.

Value

an object of class factor. For details see base factor documentation.

See Also

values2labels, names2labels, val_lab, var_lab. Materials for base functions: factor, as.factor, ordered, as.ordered

Examples

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data(mtcars)

var_lab(mtcars$am) = "Transmission"
val_lab(mtcars$am) = c(automatic = 0, manual=1)

summary(lm(mpg ~ am, data = mtcars)) # no labels  
summary(lm(mpg ~ fctr(am), data = mtcars)) # with labels 
summary(lm(mpg ~ fctr(unvr(am)), data = mtcars)) # without variable label 

Example output

Call:
lm(formula = mpg ~ am, data = mtcars)

Residuals:
    Min      1Q  Median      3Q     Max 
-9.3923 -3.0923 -0.2974  3.2439  9.5077 

Coefficients:
            Estimate Std. Error t value Pr(>|t|)    
(Intercept)   17.147      1.125  15.247 1.13e-15 ***
am             7.245      1.764   4.106 0.000285 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Residual standard error: 4.902 on 30 degrees of freedom
Multiple R-squared:  0.3598,	Adjusted R-squared:  0.3385 
F-statistic: 16.86 on 1 and 30 DF,  p-value: 0.000285


Call:
lm(formula = mpg ~ fctr(am), data = mtcars)

Residuals:
    Min      1Q  Median      3Q     Max 
-9.3923 -3.0923 -0.2974  3.2439  9.5077 

Coefficients:
                            Estimate Std. Error t value Pr(>|t|)    
(Intercept)                   17.147      1.125  15.247 1.13e-15 ***
fctr(am)Transmission|manual    7.245      1.764   4.106 0.000285 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Residual standard error: 4.902 on 30 degrees of freedom
Multiple R-squared:  0.3598,	Adjusted R-squared:  0.3385 
F-statistic: 16.86 on 1 and 30 DF,  p-value: 0.000285


Call:
lm(formula = mpg ~ fctr(unvr(am)), data = mtcars)

Residuals:
    Min      1Q  Median      3Q     Max 
-9.3923 -3.0923 -0.2974  3.2439  9.5077 

Coefficients:
                     Estimate Std. Error t value Pr(>|t|)    
(Intercept)            17.147      1.125  15.247 1.13e-15 ***
fctr(unvr(am))manual    7.245      1.764   4.106 0.000285 ***
---
Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Residual standard error: 4.902 on 30 degrees of freedom
Multiple R-squared:  0.3598,	Adjusted R-squared:  0.3385 
F-statistic: 16.86 on 1 and 30 DF,  p-value: 0.000285

expss documentation built on Jan. 8, 2021, 5:38 p.m.