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 of 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 |
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_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.dichotomy |
Convert variable (possibly multiple choice question) to data.frame/matrix of dummy variables. |
as.dtfrm |
Make data.frame without conversion to factors and without fixing names |
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_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. |
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 |
copy |
Change, rearrange or consolidate the values of an existing/new variable. Inspired by 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 |
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. |
datatable |
Create an HTML table widget for usage with Shiny |
datatable.etable |
Create an HTML table widget for usage with Shiny |
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 |
dtfrm |
Make data.frame without conversion to factors and without fixing names |
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. |
ifs |
Change, rearrange or consolidate the values of an existing/new variable. Inspired by RECODE command from SPSS. |
if_na |
Replace NA values in vector/data.frame/matrix/list with supplied value |
if_na<- |
Replace NA values in vector/data.frame/matrix/list with supplied value |
if_val |
Change, rearrange or consolidate the values of an existing/new variable. Inspired by RECODE command from SPSS. |
if_val<- |
Change, rearrange or consolidate the values of an existing/new variable. Inspired by 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 |
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 |
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 certain values with NA |
mis_val<- |
Replace certain values with NA |
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 |
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_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 of the table |
significance_cases |
Mark significant differences between columns of the table |
significance_cpct |
Mark significant differences between columns of the table |
significance_means |
Mark significant differences between columns of the table |
sort_asc |
Sort data.frames/matrices/vectors |
sort_desc |
Sort data.frames/matrices/vectors |
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) |
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_n |
Compute various weighted statistics |
values2labels |
Replace vector/matrix/data.frame/list values with corresponding value labels. |
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 |
where |
Subset (filter) data.frames/matrices/vectors/lists |
window_fun |
Function over grouping variables (window function) |
write_labelled_csv |
Write data with labels to file in R code or in SPSS syntax. |
write_labelled_csv2 |
Write data with labels to file in R code or in SPSS syntax. |
write_labelled_spss |
Write data with labels to file in R code or in SPSS syntax. |
write_labelled_tab |
Write data with labels to file in R code or in SPSS syntax. |
write_labelled_tab2 |
Write data with labels to file in R code or in SPSS syntax. |
write_labels |
Write data with labels to file in R code or in SPSS syntax. |
write_labels_spss |
Write data with labels to file in R code or in 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 |
%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 NA values in vector/data.frame/matrix/list with supplied value |
%into% |
Change, rearrange or consolidate the values of an existing/new variable. Inspired by RECODE command from SPSS. |
%merge% |
Merge two tables/data.frames |
%mis_val% |
Replace certain values with NA |
%na_if% |
Replace certain values with NA |
%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. |
.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_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_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 |
.dtfrm |
Make data.frame without conversion to factors and without fixing names |
.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 |
.lst |
Make data.frame without conversion to factors and without fixing names |
.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 |