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| sjmisc-package | Data Transformation and Labelled Data Utility Functions |
| add_labels | Add or replace value labels of variables |
| add_labels<- | Add or replace value labels of variables |
| as_labelled | Convert vector to labelled class |
| big_mark | Formats large numbers with big marks |
| copy_labels | Copy value and variable labels to (subsetted) data frames |
| count_na | Frequency table of tagged NA values |
| dicho | Dichotomize variables |
| drop_labels | Drop labels of zero-count values |
| efc | Sample dataset from the EUROFAMCARE project |
| empty_cols | Return or remove variables or observations that are completely missing |
| empty_rows | Return or remove variables or observations that are completely missing |
| fill_labels | Add missing value labels to partially labelled vector |
| find_var | Find variable by name or label |
| flat_table | Flat (proportional) tables |
| frq | Frequencies of labelled variables |
| get_label | Retrieve variable label(s) of labelled data |
| get_labels | Retrieve value labels of labelled data |
| get_na | Retrieve tagged NA values of labelled variables |
| get_note | Retrieve notes (annotations) from labelled variables |
| get_values | Retrieve values of labelled variables |
| group_labels | Create labels for recoded groups |
| group_str | Group near elements of string vectors |
| group_var | Recode numeric variables into equal-ranged groups |
| is_crossed | Check whether two factors are crossed |
| is_empty | Check whether string or vector is empty |
| is_even | Check whether value is even |
| is_labelled | Check whether object is of class "labelled" |
| is_nested | Check whether two factors are nested |
| is_num_fac | Check whether a factor has numeric levels only |
| is_odd | Check whether value is odd |
| lbl_df | Create a labelled data frame |
| merge_df | Merge labelled data frames |
| merge_imputations | Merges multiple imputed data frames into a single data frame |
| read_sas | Import SAS dataset as data frame into R |
| read_spss | Import SPSS dataset as data frame into R |
| read_stata | Import STATA dataset as data frame into R |
| rec | Recode variables |
| rec<- | Recode variables |
| recode_to | Recode variable categories into new values |
| rec_pattern | Create recode pattern for 'rec' function |
| ref_lvl | Change reference level of (numeric) factors |
| ref_lvl<- | Change reference level of (numeric) factors |
| remove_all_labels | Remove value and variable labels from vector or data frame |
| remove_empty_cols | Return or remove variables or observations that are completely missing |
| remove_empty_rows | Return or remove variables or observations that are completely missing |
| remove_labels | Remove value labels from variables |
| remove_labels<- | Remove value labels from variables |
| replace_labels | Add or replace value labels of variables |
| replace_labels<- | Add or replace value labels of variables |
| replace_na | Replace NA with specific values |
| replace_na<- | Replace NA with specific values |
| set_label | Add variable label(s) to variables |
| set_label<- | Add variable label(s) to variables |
| set_labels | Add value labels to variables |
| set_labels<- | Add value labels to variables |
| set_na | Replace specific values in vector with NA |
| set_na<- | Replace specific values in vector with NA |
| set_note | Add notes (annotations) to (labelled) variables |
| set_note<- | Add notes (annotations) to (labelled) variables |
| sjmisc | Data Transformation and Labelled Data Utility Functions |
| split_var | Split numeric variables into smaller groups |
| spread_coef | Spread model coefficients of list-variables into columns |
| str_contains | Check if string contains pattern |
| str_pos | Find partial matching and close distance elements in strings |
| to_character | Convert variable into character vector and replace values with associated value labels |
| to_dummy | Split (categorical) vectors into dummy variables |
| to_factor | Convert variable into factor and keep value labels |
| to_label | Convert variable into factor and replace values with associated value labels |
| to_long | Convert wide data to long format |
| to_value | Convert factors to numeric variables |
| trim | Trim leading and trailing whitespaces from strings |
| unlabel | Convert labelled vectors into normal classes |
| var_labels | Add variable label(s) to variables |
| var_rename | Rename variables |
| word_wrap | Insert line breaks in long labels |
| write_sas | Write content of data frame to SAS-file |
| write_spss | Write content of data frame to SPSS sav-file |
| write_stata | Write content of data frame to STATA dta-file |
| zap_labels | Convert (non-)labelled values into NA |
| zap_na_tags | Convert tagged NA values into regular NA |
| zap_unlabelled | Convert (non-)labelled values into NA |