Man pages for sjmisc
Data and Variable Transformation Functions

add_columnsAdd or replace data frame columns
all_naCheck if vector only has NA values
big_markFormats large numbers with big marks
count_naFrequency table of tagged NA values
descrBasic descriptive statistics
dichoDichotomize variables
efcSample dataset from the EUROFAMCARE project
empty_colsReturn or remove variables or observations that are...
find_varFind variable by name or label
flat_tableFlat (proportional) tables
frqFrequencies of labelled variables
grapes-nin-grapesValue matching
group_strGroup near elements of string vectors
group_varRecode numeric variables into equal-ranged groups
is_crossedCheck whether two factors are crossed or nested
is_emptyCheck whether string, list or vector is empty
is_evenCheck whether value is even or odd
is_floatCheck if a variable is of (non-integer) double type
is_num_facCheck whether a factor has numeric levels only
merge_dfMerge labelled data frames
merge_imputationsMerges multiple imputed data frames into a single data frame
recRecode variables
recode_toRecode variable categories into new values
rec_patternCreate recode pattern for 'rec' function
reexportsObjects exported from other packages
ref_lvlChange reference level of (numeric) factors
remove_varRemove variables from a data frame
replace_naReplace NA with specific values
rotate_dfRotate a data frame
row_countCount row or column indices
row_sumsRow sums and means for data frames
set_naReplace specific values in vector with NA
shorten_stringShorten character strings
sjmisc-packageData and Variable Transformation Functions
split_varSplit numeric variables into smaller groups
spread_coefSpread model coefficients of list-variables into columns
stdStandardize and center variables
str_containsCheck if string contains pattern
str_posFind partial matching and close distance elements in strings
str_startFind start and end index of pattern in string
to_characterConvert variable into character vector and replace values...
to_dummySplit (categorical) vectors into dummy variables
to_factorConvert variable into factor and keep value labels
to_labelConvert variable into factor with associated value labels
to_longConvert wide data to long format
to_valueConvert factors to numeric variables
trimTrim leading and trailing whitespaces from strings
var_renameRename variables
var_typeDetermine variable type
word_wrapInsert line breaks in long labels
zap_infConvert infiite or NaN values into regular NA
sjmisc documentation built on Nov. 28, 2017, 1:06 a.m.