inst/doc/labelled_spss_survey.R

In retroharmonize: Ex Post Survey Data Harmonization

## ----include = FALSE----------------------------------------------------------
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

## ----setup--------------------------------------------------------------------
library(retroharmonize)

## -----------------------------------------------------------------------------
sl1 <- labelled_spss_survey(
  x = c(1, 1, 0, 8, 8, 8),
  labels = c(
    "yes" = 1,
    "no" = 0,
    "declined" = 8
  ),
  label = "Do you agree?",
  na_values = 8,
  id = "survey1"
)

print(sl1)

## -----------------------------------------------------------------------------
is.labelled_spss_survey(sl1)

## -----------------------------------------------------------------------------
haven::is.labelled(sl1)

## -----------------------------------------------------------------------------
labelled::val_labels(sl1)

## -----------------------------------------------------------------------------
labelled::na_values(sl1)

## -----------------------------------------------------------------------------
sl1[3:4]

## -----------------------------------------------------------------------------
df <- tibble::tibble(v1 = sl1)
## Use tibble instead of data.frame(v1=sl1) ...
print(df)
## ... which inherits the methods of a data.frame
subset(df, v1 == 1)

## -----------------------------------------------------------------------------
# double
c(sl1, 1 / 7)
vctrs::vec_c(sl1, 1 / 7)

## ----integer------------------------------------------------------------------
c(sl1, 1:3)

## ----character----------------------------------------------------------------
as.character(sl1)

## ----as.factor----------------------------------------------------------------
as.factor(sl1)

## ----as_factor----------------------------------------------------------------
as_factor(sl1)

## ----numerics-----------------------------------------------------------------
as.numeric(sl1)
as_numeric(sl1)

## -----------------------------------------------------------------------------
median(as.numeric(sl1))
median(sl1)

## -----------------------------------------------------------------------------
quantile(as.numeric(sl1), 0.9)
quantile(sl1, 0.9)

## -----------------------------------------------------------------------------
mean(as.numeric(sl1))
mean(sl1)
mean(sl1, na.rm = TRUE)

## -----------------------------------------------------------------------------
weights1 <- runif(n = 6, min = 0, max = 1)
weighted.mean(as.numeric(sl1), weights1)
weighted.mean(sl1, weights1)

## -----------------------------------------------------------------------------
sum(as.numeric(sl1))
sum(sl1, na.rm = TRUE)

## -----------------------------------------------------------------------------
as_numeric(sl1)
min(as_numeric(sl1))
min(as_numeric(sl1), na.rm = TRUE)