# Tables, Labels and Some Useful Functions from Spreadsheets and 'SPSS' Statistics

## Documentation for package ‘expss’ version 0.10.1

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

A C D E F G H I K L M N O P Q R S T U V W X misc

## -- A --

add_columns | Look up values in dictionary.
add_labelled_class | Set or get variable label
add_rows | Add rows to data.frame/matrix/table
add_rows.data.frame | Add rows to data.frame/matrix/table
add_sig_labels | Mark significant differences between columns in the table
add_val_lab | Set or get value labels
add_val_lab<- | Set or get value labels
all_in_col | Compute sum/mean/sd/median/max/min/custom function on rows/columns
all_in_row | Compute sum/mean/sd/median/max/min/custom function on rows/columns
and | Criteria functions
any_in_col | Compute sum/mean/sd/median/max/min/custom function on rows/columns
any_in_row | Compute sum/mean/sd/median/max/min/custom function on rows/columns
apply_col | Compute sum/mean/sd/median/max/min/custom function on rows/columns
apply_col_if | Count/sum/average/other functions on values that meet a criterion
apply_dictionary | Write labelled data to file or export file to SPSS syntax.
apply_labels | Set variable labels/value labels on variables in the data.frame
apply_row | Compute sum/mean/sd/median/max/min/custom function on rows/columns
apply_row_if | Count/sum/average/other functions on values that meet a criterion
apply_val_labs | Set variable labels/value labels on variables in the data.frame
apply_var_labs | Set variable labels/value labels on variables in the data.frame
as.category | Convert dichotomy data.frame/matrix to data.frame with category encoding
as.criterion | Criteria functions
as.datatable_widget | Create an HTML table widget for usage with Shiny
as.datatable_widget.etable | Create an HTML table widget for usage with Shiny
as.datatable_widget.with_caption | Create an HTML table widget for usage with Shiny
as.dichotomy | Convert variable (possibly multiple choice question) to data.frame/matrix of dummy variables.
as.etable | Convert data.frame/matrix to object of class 'etable'
as.labelled | Recode vector into numeric vector with value labels
as.sheet | Make data.frame without conversion to factors and without fixing names
as_hux.etable | Convert table to huxtable
as_huxtable.etable | Convert table to huxtable
as_is | Repeats the same transformations on a specified set of variables/values
autonum | Set or get value labels

## -- C --

calc | Modify data.frame/modify subset of the data.frame
calculate | Modify data.frame/modify subset of the data.frame
calc_cro | Cross tabulation with support of labels, weights and multiple response variables.
calc_cro_cases | Cross tabulation with support of labels, weights and multiple response variables.
calc_cro_cpct | Cross tabulation with support of labels, weights and multiple response variables.
calc_cro_cpct_responses | Cross tabulation with support of labels, weights and multiple response variables.
calc_cro_fun | Cross-tabulation with custom summary function.
calc_cro_fun_df | Cross-tabulation with custom summary function.
calc_cro_mean | Cross-tabulation with custom summary function.
calc_cro_mean_sd_n | Cross-tabulation with custom summary function.
calc_cro_median | Cross-tabulation with custom summary function.
calc_cro_pearson | Cross-tabulation with custom summary function.
calc_cro_rpct | Cross tabulation with support of labels, weights and multiple response variables.
calc_cro_spearman | Cross-tabulation with custom summary function.
calc_cro_sum | Cross-tabulation with custom summary function.
calc_cro_tpct | Cross tabulation with support of labels, weights and multiple response variables.
cell_chisq | Mark significant differences between columns in the table
combine_functions | Cross-tabulation with custom summary function.
compare_means | Calculate significance (p-values) of differences between proportions/means
compare_proportions | Calculate significance (p-values) of differences between proportions/means
compute | Modify data.frame/modify subset of the data.frame
contains | Criteria functions
copy | Change, rearrange or consolidate the values of an existing or new variable. Inspired by the RECODE command from SPSS.
count_col_if | Count/sum/average/other functions on values that meet a criterion
count_if | Count/sum/average/other functions on values that meet a criterion
count_row_if | Count/sum/average/other functions on values that meet a criterion
create_dictionary | Write labelled data to file or export file to SPSS syntax.
criteria | Criteria functions
cro | Cross tabulation with support of labels, weights and multiple response variables.
cro_cases | Cross tabulation with support of labels, weights and multiple response variables.
cro_cpct | Cross tabulation with support of labels, weights and multiple response variables.
cro_cpct_responses | Cross tabulation with support of labels, weights and multiple response variables.
cro_fun | Cross-tabulation with custom summary function.
cro_fun_df | Cross-tabulation with custom summary function.
cro_mean | Cross-tabulation with custom summary function.
cro_mean_sd_n | Cross-tabulation with custom summary function.
cro_median | Cross-tabulation with custom summary function.
cro_pearson | Cross-tabulation with custom summary function.
cro_rpct | Cross tabulation with support of labels, weights and multiple response variables.
cro_spearman | Cross-tabulation with custom summary function.
cro_sum | Cross-tabulation with custom summary function.
cro_tpct | Cross tabulation with support of labels, weights and multiple response variables.

## -- D --

default_dataset | Get or set reference to default dataset. Experimental feature.
do_if | Modify data.frame/modify subset of the data.frame
do_repeat | Repeats the same transformations on a specified set of variables/values
drop_all_labels | Drop variable label and value labels
drop_c | Drop empty (with all NA's) rows/columns from data.frame/table
drop_empty_columns | Drop empty (with all NA's) rows/columns from data.frame/table
drop_empty_rows | Drop empty (with all NA's) rows/columns from data.frame/table
drop_r | Drop empty (with all NA's) rows/columns from data.frame/table
drop_rc | Drop empty (with all NA's) rows/columns from data.frame/table
drop_unused_labels | Set or get value labels
drop_val_labs | Set or get value labels
drop_var_labs | Set or get variable label
dummy | Convert variable (possibly multiple choice question) to data.frame/matrix of dummy variables.
dummy1 | Convert variable (possibly multiple choice question) to data.frame/matrix of dummy variables.

## -- E --

eq | Criteria functions
equals | Criteria functions
except | Keep or drop elements by name/criteria in data.frame/matrix
experimental | Experimental functions for operations with default dataset
expss | expss: Tables with Labels and Some Useful Functions from Spreadsheets and SPSS Statistics
expss.options | Options for controlling behavior of the package
expss_digits | Options for controlling behavior of the package
expss_disable_value_labels_support | Options for controlling behavior of the package
expss_enable_value_labels_support | Options for controlling behavior of the package
expss_enable_value_labels_support_extreme | Options for controlling behavior of the package
expss_fix_encoding_off | Options for controlling behavior of the package
expss_fix_encoding_on | Options for controlling behavior of the package
expss_fre_stat_lab | Options for controlling behavior of the package
expss_output_commented | Options for controlling behavior of the package
expss_output_default | Options for controlling behavior of the package
expss_output_huxtable | Options for controlling behavior of the package
expss_output_raw | Options for controlling behavior of the package
expss_output_rnotebook | Options for controlling behavior of the package
expss_output_viewer | Options for controlling behavior of the package

## -- F --

fctr | Convert labelled variable to factor
fixed | Criteria functions
fre | Simple frequencies with support of labels, weights and multiple response variables.
from | Criteria functions
from_to | Change, rearrange or consolidate the values of an existing or new variable. Inspired by the RECODE command from SPSS.

## -- G --

ge | Criteria functions
get_caption | Add caption to the table
get_expss_digits | Options for controlling behavior of the package
greater | Criteria functions
greater_or_equal | Criteria functions
gt | Criteria functions
gte | Criteria functions

## -- H --

has_label | Criteria functions
hi | Change, rearrange or consolidate the values of an existing or new variable. Inspired by the RECODE command from SPSS.
htmlTable.etable | Outputting HTML tables in RStudio viewer/R Notebooks
htmlTable.list | Outputting HTML tables in RStudio viewer/R Notebooks
htmlTable.with_caption | Outputting HTML tables in RStudio viewer/R Notebooks

## -- I --

ifs | Change, rearrange or consolidate the values of an existing or new variable. Inspired by the RECODE command from SPSS.
if_na | Replace values with NA and vice-versa
if_na<- | Replace values with NA and vice-versa
if_val | Change, rearrange or consolidate the values of an existing or new variable. Inspired by the RECODE command from SPSS.
if_val<- | Change, rearrange or consolidate the values of an existing or new variable. Inspired by the RECODE command from SPSS.
index_col | Match finds value in rows or columns/index returns value by index from rows or columns
index_row | Match finds value in rows or columns/index returns value by index from rows or columns
indirect | Get variables/range of variables by name/by pattern.
indirect_list | Get variables/range of variables by name/by pattern.
info | Provides variables description for dataset
is.category | Convert dichotomy data.frame/matrix to data.frame with category encoding
is.dichotomy | Convert variable (possibly multiple choice question) to data.frame/matrix of dummy variables.
is.etable | Convert data.frame/matrix to object of class 'etable'
is.labelled | Recode vector into numeric vector with value labels
is.with_caption | Add caption to the table
is_max | Criteria functions
is_min | Criteria functions
items | Criteria functions

## -- K --

keep | Keep or drop elements by name/criteria in data.frame/matrix
knit_print.etable | Outputting HTML tables in RStudio viewer/R Notebooks
knit_print.with_caption | Outputting HTML tables in RStudio viewer/R Notebooks

## -- L --

lab_num | Set or get value labels
le | Criteria functions
less | Criteria functions
less_or_equal | Criteria functions
like | Criteria functions
lo | Change, rearrange or consolidate the values of an existing or new variable. Inspired by the RECODE command from SPSS.
lt | Criteria functions
lte | Criteria functions

## -- M --

make_labels | Set or get value labels
make_subheadings | Split character vector to matrix/split columns in data.frame
match_col | Match finds value in rows or columns/index returns value by index from rows or columns
match_row | Match finds value in rows or columns/index returns value by index from rows or columns
max_col | Compute sum/mean/sd/median/max/min/custom function on rows/columns
max_col_if | Count/sum/average/other functions on values that meet a criterion
max_if | Count/sum/average/other functions on values that meet a criterion
max_row | Compute sum/mean/sd/median/max/min/custom function on rows/columns
max_row_if | Count/sum/average/other functions on values that meet a criterion
mdset | Create multiple response set/multiple dichotomy set from variables
mdset_f | Create multiple response set/multiple dichotomy set from variables
mdset_p | Create multiple response set/multiple dichotomy set from variables
mdset_t | Create multiple response set/multiple dichotomy set from variables
mean_col | Compute sum/mean/sd/median/max/min/custom function on rows/columns
mean_col_if | Count/sum/average/other functions on values that meet a criterion
mean_if | Count/sum/average/other functions on values that meet a criterion
mean_row | Compute sum/mean/sd/median/max/min/custom function on rows/columns
mean_row_if | Count/sum/average/other functions on values that meet a criterion
median_col | Compute sum/mean/sd/median/max/min/custom function on rows/columns
median_col_if | Count/sum/average/other functions on values that meet a criterion
median_if | Count/sum/average/other functions on values that meet a criterion
median_row | Compute sum/mean/sd/median/max/min/custom function on rows/columns
median_row_if | Count/sum/average/other functions on values that meet a criterion
merge.etable | Merge two tables/data.frames
min_col | Compute sum/mean/sd/median/max/min/custom function on rows/columns
min_col_if | Count/sum/average/other functions on values that meet a criterion
min_if | Count/sum/average/other functions on values that meet a criterion
min_row | Compute sum/mean/sd/median/max/min/custom function on rows/columns
min_row_if | Count/sum/average/other functions on values that meet a criterion
mis_val | Replace values with NA and vice-versa
mis_val<- | Replace values with NA and vice-versa
modify | Modify data.frame/modify subset of the data.frame
modify_if | Modify data.frame/modify subset of the data.frame
mrset | Create multiple response set/multiple dichotomy set from variables
mrset_f | Create multiple response set/multiple dichotomy set from variables
mrset_p | Create multiple response set/multiple dichotomy set from variables
mrset_t | Create multiple response set/multiple dichotomy set from variables

## -- N --

n2l | Replace data.frame/list names with corresponding variables labels.
names2labels | Replace data.frame/list names with corresponding variables labels.
name_dots | Bug workaround
na_if | Replace values with NA and vice-versa
na_if<- | Replace values with NA and vice-versa
ne | Criteria functions
neq | Criteria functions
nest | Compute nested variable(-s) from several variables
net | Add subtotal to a set of categories
not | Criteria functions
not_equals | Criteria functions
not_na | Criteria functions
num_lab | Set or get value labels
n_diff | Infix operations on vectors - append, diff, intersection, union, replication
n_intersect | Infix operations on vectors - append, diff, intersection, union, replication

## -- O --

old_read_labelled_csv | Write labelled data to file or export file to SPSS syntax.
old_write_labelled_csv | Write labelled data to file or export file to SPSS syntax.
or | Criteria functions
other | Criteria functions

## -- P --

perl | Criteria functions
prepend_all | Prepend values/variable names to value/variable labels
prepend_names | Prepend values/variable names to value/variable labels
prepend_values | Prepend values/variable names to value/variable labels
product_test | Data from product test of chocolate confectionary
prop | Compute proportions from numeric vector/matrix/data.frame
prop_col | Compute proportions from numeric vector/matrix/data.frame
prop_row | Compute proportions from numeric vector/matrix/data.frame

## -- Q --

qc | Create vector of characters from unquoted strings (variable names)
qe | Create vector of characters from unquoted strings (variable names)

## -- R --

read_labelled_csv | Write labelled data to file or export file to SPSS syntax.
read_labelled_csv2 | Write labelled data to file or export file to SPSS syntax.
read_labelled_fst | Write labelled data to file or export file to SPSS syntax.
read_labelled_tab | Write labelled data to file or export file to SPSS syntax.
read_labelled_tab2 | Write labelled data to file or export file to SPSS syntax.
read_labelled_xlsx | Write labelled data to file or export file to SPSS syntax.
read_spss | Read an SPSS Data File
read_spss_to_list | Read an SPSS Data File
rec | Change, rearrange or consolidate the values of an existing or new variable. Inspired by the RECODE command from SPSS.
rec<- | Change, rearrange or consolidate the values of an existing or new variable. Inspired by the RECODE command from SPSS.
recode | Change, rearrange or consolidate the values of an existing or new variable. Inspired by the RECODE command from SPSS.
recode<- | Change, rearrange or consolidate the values of an existing or new variable. Inspired by the RECODE command from SPSS.
ref | Auxiliary functions to pass arguments to function by reference
ref<- | Auxiliary functions to pass arguments to function by reference
regex | Criteria functions
repr_html.etable | Outputting HTML tables in RStudio viewer/R Notebooks
repr_html.with_caption | Outputting HTML tables in RStudio viewer/R Notebooks
repr_text.etable | Outputting HTML tables in RStudio viewer/R Notebooks
repr_text.with_caption | Outputting HTML tables in RStudio viewer/R Notebooks

## -- S --

sd_col | Compute sum/mean/sd/median/max/min/custom function on rows/columns
sd_col_if | Count/sum/average/other functions on values that meet a criterion
sd_if | Count/sum/average/other functions on values that meet a criterion
sd_row | Compute sum/mean/sd/median/max/min/custom function on rows/columns
sd_row_if | Count/sum/average/other functions on values that meet a criterion
set_caption | Add caption to the table
set_val_lab | Set or get value labels
set_var_lab | Set or get variable label
sheet | Make data.frame without conversion to factors and without fixing names
significance | Mark significant differences between columns in the table
significance_cases | Mark significant differences between columns in the table
significance_cell_chisq | Mark significant differences between columns in the table
significance_cpct | Mark significant differences between columns in the table
significance_means | Mark significant differences between columns in the table
sort_asc | Sort data.frames/matrices/vectors
sort_desc | Sort data.frames/matrices/vectors
split_by | Splits data.frame into list of data.frames that can be analyzed separately
split_columns | Split character vector to matrix/split columns in data.frame
split_labels | Split character vector to matrix/split columns in data.frame
split_off | Splits data.frame into list of data.frames that can be analyzed separately
split_separate | Splits data.frame into list of data.frames that can be analyzed separately
split_table_to_df | Split character vector to matrix/split columns in data.frame
subst | Create vector of characters from unquoted strings (variable names)
subtotal | Add subtotal to a set of categories
sum_col | Compute sum/mean/sd/median/max/min/custom function on rows/columns
sum_col_if | Count/sum/average/other functions on values that meet a criterion
sum_if | Count/sum/average/other functions on values that meet a criterion
sum_row | Compute sum/mean/sd/median/max/min/custom function on rows/columns
sum_row_if | Count/sum/average/other functions on values that meet a criterion

## -- T --

tables | Functions for custom tables construction
tab_cells | Functions for custom tables construction
tab_cols | Functions for custom tables construction
tab_last_add_sig_labels | Mark significant differences between columns in the table
tab_last_hstack | Functions for custom tables construction
tab_last_round | Mark significant differences between columns in the table
tab_last_sig_cases | Mark significant differences between columns in the table
tab_last_sig_cell_chisq | Mark significant differences between columns in the table
tab_last_sig_cpct | Mark significant differences between columns in the table
tab_last_sig_means | Mark significant differences between columns in the table
tab_last_vstack | Functions for custom tables construction
tab_mis_val | Functions for custom tables construction
tab_net_cells | Add subtotal to a set of categories
tab_net_cols | Add subtotal to a set of categories
tab_net_rows | Add subtotal to a set of categories
tab_pivot | Functions for custom tables construction
tab_prepend_all | Prepend values/variable names to value/variable labels
tab_prepend_names | Prepend values/variable names to value/variable labels
tab_prepend_values | Prepend values/variable names to value/variable labels
tab_rows | Functions for custom tables construction
tab_row_label | Functions for custom tables construction
tab_significance_options | Mark significant differences between columns in the table
tab_sort_asc | Partially (inside blocks) sort tables/data.frames
tab_sort_desc | Partially (inside blocks) sort tables/data.frames
tab_stat_cases | Functions for custom tables construction
tab_stat_cpct | Functions for custom tables construction
tab_stat_cpct_responses | Functions for custom tables construction
tab_stat_fun | Functions for custom tables construction
tab_stat_fun_df | Functions for custom tables construction
tab_stat_max | Functions for custom tables construction
tab_stat_mean | Functions for custom tables construction
tab_stat_mean_sd_n | Functions for custom tables construction
tab_stat_median | Functions for custom tables construction
tab_stat_min | Functions for custom tables construction
tab_stat_rpct | Functions for custom tables construction
tab_stat_sd | Functions for custom tables construction
tab_stat_se | Functions for custom tables construction
tab_stat_sum | Functions for custom tables construction
tab_stat_tpct | Functions for custom tables construction
tab_stat_unweighted_valid_n | Functions for custom tables construction
tab_stat_valid_n | Functions for custom tables construction
tab_subgroup | Functions for custom tables construction
tab_subtotal_cells | Add subtotal to a set of categories
tab_subtotal_cols | Add subtotal to a set of categories
tab_subtotal_rows | Add subtotal to a set of categories
tab_total_label | Functions for custom tables construction
tab_total_row_position | Functions for custom tables construction
tab_total_statistic | Functions for custom tables construction
tab_transpose | Functions for custom tables construction
tab_weight | Functions for custom tables construction
text_expand | Create vector of characters from unquoted strings (variable names)
text_to_columns | Make data.frame from text
text_to_columns_csv | Make data.frame from text
text_to_columns_csv2 | Make data.frame from text
text_to_columns_tab | Make data.frame from text
text_to_columns_tab2 | Make data.frame from text
thru | Criteria functions
to | Criteria functions
total | Cross tabulation with support of labels, weights and multiple response variables.

## -- U --

unlab | Drop variable label and value labels
unvl | Set or get value labels
unvr | Set or get variable label
unweighted_valid_n | Compute various weighted statistics
use_labels | Modify data.frame/modify subset of the data.frame

## -- V --

v2l | Replace vector/matrix/data.frame/list values with corresponding value labels.
valid | Replace values with NA and vice-versa
valid_n | Compute various weighted statistics
values2labels | Replace vector/matrix/data.frame/list values with corresponding value labels.
value_col_if | Match finds value in rows or columns/index returns value by index from rows or columns
value_row_if | Match finds value in rows or columns/index returns value by index from rows or columns
val_lab | Set or get value labels
val_lab<- | Set or get value labels
vars | Get variables/range of variables by name/by pattern.
vars_list | Get variables/range of variables by name/by pattern.
var_lab | Set or get variable label
var_lab<- | Set or get variable label
vectors | Infix operations on vectors - append, diff, intersection, union, replication
vlookup | Look up values in dictionary.
vlookup_df | Look up values in dictionary.
v_diff | Infix operations on vectors - append, diff, intersection, union, replication
v_intersect | Infix operations on vectors - append, diff, intersection, union, replication
v_union | Infix operations on vectors - append, diff, intersection, union, replication
v_xor | Infix operations on vectors - append, diff, intersection, union, replication

## -- W --

where | Subset (filter) data.frames/matrices/vectors/lists
window_fun | Function over grouping variables (window function)
write_labelled_csv | Write labelled data to file or export file to SPSS syntax.
write_labelled_csv2 | Write labelled data to file or export file to SPSS syntax.
write_labelled_fst | Write labelled data to file or export file to SPSS syntax.
write_labelled_spss | Write labelled data to file or export file to SPSS syntax.
write_labelled_tab | Write labelled data to file or export file to SPSS syntax.
write_labelled_tab2 | Write labelled data to file or export file to SPSS syntax.
write_labelled_xlsx | Write labelled data to file or export file to SPSS syntax.
write_labels | Write labelled data to file or export file to SPSS syntax.
write_labels_spss | Write labelled data to file or export file to SPSS syntax.
w_cor | Compute various weighted statistics
w_cov | Compute various weighted statistics
w_mad | Compute various weighted statistics
w_max | Compute various weighted statistics
w_mean | Compute various weighted statistics
w_median | Compute various weighted statistics
w_min | Compute various weighted statistics
w_n | Compute various weighted statistics
w_pearson | Compute various weighted statistics
w_sd | Compute various weighted statistics
w_se | Compute various weighted statistics
w_spearman | Compute various weighted statistics
w_sum | Compute various weighted statistics
w_var | Compute various weighted statistics

## -- X --

xl_write | Write tables and other objects to an xlsx file with formatting
xl_write.default | Write tables and other objects to an xlsx file with formatting
xl_write.etable | Write tables and other objects to an xlsx file with formatting
xl_write.list | Write tables and other objects to an xlsx file with formatting
xl_write.with_caption | Write tables and other objects to an xlsx file with formatting

## -- misc --

%a% | Infix operations on vectors - append, diff, intersection, union, replication
%add_rows% | Add rows to data.frame/matrix/table
%calc% | Modify data.frame/modify subset of the data.frame
%calculate% | Modify data.frame/modify subset of the data.frame
%col_in% | Count/sum/average/other functions on values that meet a criterion
%d% | Infix operations on vectors - append, diff, intersection, union, replication
%e% | Infix operations on vectors - append, diff, intersection, union, replication
%has% | Count/sum/average/other functions on values that meet a criterion
%i% | Infix operations on vectors - append, diff, intersection, union, replication
%if_na% | Replace values with NA and vice-versa
%into% | Change, rearrange or consolidate the values of an existing or new variable. Inspired by the RECODE command from SPSS.
%merge% | Merge two tables/data.frames
%mis_val% | Replace values with NA and vice-versa
%na_if% | Replace values with NA and vice-versa
%nest% | Compute nested variable(-s) from several variables
%n_d% | Infix operations on vectors - append, diff, intersection, union, replication
%n_i% | Infix operations on vectors - append, diff, intersection, union, replication
%r% | Infix operations on vectors - append, diff, intersection, union, replication
%row_in% | Count/sum/average/other functions on values that meet a criterion
%thru% | Criteria functions
%to% | Get variables/range of variables by name/by pattern.
%to_list% | Get variables/range of variables by name/by pattern.
%u% | Infix operations on vectors - append, diff, intersection, union, replication
%use_labels% | Modify data.frame/modify subset of the data.frame
.. | Get variables/range of variables by name/by pattern.
..f | Get variables/range of variables by name/by pattern.
..p | Get variables/range of variables by name/by pattern.
..t | Get variables/range of variables by name/by pattern.
.add_columns | Look up values in dictionary.
.add_rows | Add rows to data.frame/matrix/table
.apply_labels | Set variable labels/value labels on variables in the data.frame
.apply_val_labs | Set variable labels/value labels on variables in the data.frame
.apply_var_labs | Set variable labels/value labels on variables in the data.frame
.calc | Experimental functions for operations with default dataset
.calculate | Experimental functions for operations with default dataset
.compute | Experimental functions for operations with default dataset
.cro | Experimental functions for operations with default dataset
.cro_cases | Experimental functions for operations with default dataset
.cro_cpct | Experimental functions for operations with default dataset
.cro_fun | Experimental functions for operations with default dataset
.cro_fun_df | Experimental functions for operations with default dataset
.cro_mean | Experimental functions for operations with default dataset
.cro_mean_sd_n | Experimental functions for operations with default dataset
.cro_median | Experimental functions for operations with default dataset
.cro_rpct | Experimental functions for operations with default dataset
.cro_sum | Experimental functions for operations with default dataset
.cro_tpct | Experimental functions for operations with default dataset
.do_if | Experimental functions for operations with default dataset
.do_repeat | Repeats the same transformations on a specified set of variables/values
.except | Keep or drop elements by name/criteria in data.frame/matrix
.fre | Experimental functions for operations with default dataset
.if_val | Experimental functions for operations with default dataset
.keep | Keep or drop elements by name/criteria in data.frame/matrix
.modify | Experimental functions for operations with default dataset
.modify_if | Experimental functions for operations with default dataset
.recode | Experimental functions for operations with default dataset
.sheet | Make data.frame without conversion to factors and without fixing names
.sort_asc | Sort data.frames/matrices/vectors
.sort_desc | Sort data.frames/matrices/vectors
.val_lab | Experimental functions for operations with default dataset
.var_lab | Experimental functions for operations with default dataset
.where | Subset (filter) data.frames/matrices/vectors/lists