Metadata(darktriad) $name <- "How alluring are dark personalities? The Dark Triad and attractiveness in speed dating" metadata(darktriad) $description <- paste0( "The data to this speed dating study comes in two different formats: Personwise (one record for each individual) and dyadic (pairwise one record for each date). negative values, labelled values, 99/999). The detect_missing function makes it easy to recognise common ways to specify Here, that is not the case, but if you find yourself with such a dataset, Often, files imported from SPSS or Stata to R will not have their missings coded The data were shared byĮmanuel Jauk in a project called How alluring are dark personalities? The Dark Triad and attractiveness in speed dating. We select a subset of variables, just to keep it short. So we have to specify the file extension.
Here, we're downloading straight from the Open Science Framework, All we need is the rio::import function.įor files with the right file extension, we can automatically pick the right way
#Codebook spss how to
In this vignette, you can see how to use the metadata that is often already stored Knitr ::opts_chunk $ set(warning = TRUE, message = TRUE, error = FALSE, echo = TRUE) Ggplot2 :: theme_set(ggplot2 :: theme_bw()) Knit_by_pkgdown <- ! is.null(knitr ::opts_chunk $ get( "fig.retina"))
reverse_labelled_values: Reverse labelled values reverse the underlying values for a. rescue_attributes: Rescue lost attributes. reexports: Objects exported from other packages. new_codebook_rmd: Create a codebook rmarkdown document. modified: How many surveys were modified?. load_data_and_render_codebook: Submit a data file and an rmarkdown template as a file to. list_to_dict: Go from a named list to a key-value data frame or data. likert_from_items: Derive a likert object from items. label_browser_static: Browse and search variable and value labels. label_browser: Browse and search variable and value labels. knit_print.multilevel: Print a 'psych::multilevel.reliability()' object for knitr. knit_print.htest: Print a 'stats::cor.test()' object for knitr. get_skimmers.haven_labelled_spss: Define skimmers for haven_labelled_spss variables. 
get_skimmers.haven_labelled: Define skimmers for haven_labelled variables. expired: How many surveys were expired?. data_description_default: Data description default. compute_reliabilities: Compute reliabilities. codebook_table: Codebook metadata table. codebook_survey_overview: Codebook survey overview. codebook_missingness: Codebook missingness. codebook_component_single_item: Codebook component for single items. codebook_component_scale: Codebook component for scales. codebook_browser: Browse and search codebook. aggregate_and_document_scale: Aggregate variables and remember which variables this were. add_R: Append R to string, if it doesn't end in R already.
0 kommentar(er)
