add_columns |
Add columns to data.frame. |
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 |
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 |
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. |
cross_cases |
Cross tabulation with support of labels, weights and multiple response variables. |
cross_cpct |
Cross tabulation with support of labels, weights and multiple response variables. |
cross_cpct_responses |
Cross tabulation with support of labels, weights and multiple response variables. |
cross_fun |
Cross-tabulation with custom summary function. |
cross_fun_df |
Cross-tabulation with custom summary function. |
cross_mean |
Cross-tabulation with custom summary function. |
cross_mean_sd_n |
Cross-tabulation with custom summary function. |
cross_median |
Cross-tabulation with custom summary function. |
cross_pearson |
Cross-tabulation with custom summary function. |
cross_rpct |
Cross tabulation with support of labels, weights and multiple response variables. |
cross_spearman |
Cross-tabulation with custom summary function. |
cross_sum |
Cross-tabulation with custom summary function. |
cross_tpct |
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. |
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.criterion |
Criteria functions |
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 |
is_na |
Criteria functions |
items |
Criteria functions |
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 |
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. |
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 |
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_table_to_df |
Split character vector to matrix/split columns in data.frame |
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 |
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 |
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 |
weight_by |
Create dataset according to its frequency weights |
when |
Criteria functions |
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 |
%a% |
Infix operations on vectors - append, diff, intersection, union, replication |
%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. |
%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 |
.. |
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. |