posts/2020-12-23-leveraging-labelled-data-in-r/

[giscus[bot]]

posts/2020-12-23-leveraging-labelled-data-in-r/

Embracing SPSS, SAS, and Stata data sets with the haven, labelled, and sjlabelled packages

https://www.pipinghotdata.com/posts/2020-12-23-leveraging-labelled-data-in-r/

[larmarange]

Very interesting. Thanks.

For searching a variable, you can also quickly use labelled::look_for():

dat_raw %>% labelled::look_for("weapon)

[paulb20]

In addition, rio::import() for at least SPSS format datasets produces labelled data. An additional advantage is that other packages in the "sj" group work with labelled data. When I'm pooling multiple datasets with a nominally identical structure, you can use sjmisc::rec() to recode a labelled variable. This is an advantage because some of the datasets I use (should be identically structured) sometimes have varying capitalisation or replacing "and" with "&" in the data labels, causing a recode once converted to factor to fail.