Man pages for cathblatter/shurp2018
Functions for the reporting of SHURP2018-study
| create_dichoplot_table | Create a dichotomized table of a selection of variables... |
| dichotomize.C | Automatically dichotomoize the C dataframes of SHURP2018 |
| dichotomize.E | Automatically dichotomoize the E dataframes of SHURP2018 |
| getvartext | get text of variables from a specified text spreadsheet |
| ggBenchmarketing | Create the so-called "benchmarketing chart" for overview of... |
| label_data | Item labels used for params reporting |
| n.na | get number of NAs in a vector |
| n.valid | get sum of not NAs of a vector |
| n.yes | get number of positive answers in a vector |
| pipe | Pipe operator |
| prop.yes | get percentage of positive answers in a vector |
| QC_text | QC-Item text data in all languages |
| QE_text | QE-Item text data in all languages |
| round_df | round all numeric variables of a df according to no. of... |
| write_individual_report | Render individual report as PDF - this works only with... |
