R: Miscellaneous Statistical Functions Used in 'guide-R'

# Miscellaneous Statistical Functions Used in 'guide-R'

## Documentation for package ‘guideR’ version 0.10.0

- DESCRIPTION file.
- Package NEWS.

## Help Pages

add_interactions_by_step | Add potential relevant interactions using 'step()'
add_interactions_by_step.default | Add potential relevant interactions using 'step()'
bold_variable_group_headers | Utilities for 'gtsummary'
combine_answers | Combine answers of a multiple answers question
contributions | Variable contribution and Dominance analysis
cumdifferent | Comparison tests considering 'NA' as values to be compared
cut_quartiles | Cut a continuous variable in quartiles
da.svyglm.fit | Fit indices for dominance analysis of survey-weighted GLM
dummy_proportions | Plot proportions by sub-groups
fisher.simulate.p | Additional tests for 'gtsummary'
get_inertia_from_tree | Plot inertia, absolute loss and relative loss from a classification tree
grouped_tbl_pivot_wider | Helpers for grouped tables generated with 'gtsummary'
gtsummary_test | Additional tests for 'gtsummary'
gtsummary_themes | Themes for 'gtsummary'
gtsummary_utilities | Utilities for 'gtsummary'
indent_labels | Utilities for 'gtsummary'
indent_levels | Utilities for 'gtsummary'
install_dependencies | Install / Update project dependencies
is_different | Comparison tests considering 'NA' as values to be compared
is_equal | Comparison tests considering 'NA' as values to be compared
italicize_variable_group_headers | Utilities for 'gtsummary'
leading_zeros | Add leading zeros
long_to_periods | Transform a data frame from long format to period format
long_to_seq | Transform a data frame from long format to a sequence object
mean_sd | Compute means, standard deviations and confidence intervals by sub-groups
mean_sd.data.frame | Compute means, standard deviations and confidence intervals by sub-groups
mean_sd.default | Compute means, standard deviations and confidence intervals by sub-groups
mean_sd.survey.design | Compute means, standard deviations and confidence intervals by sub-groups
median_iqr | Compute median, quartiles and interquartile range by sub-groups
median_iqr.data.frame | Compute median, quartiles and interquartile range by sub-groups
median_iqr.default | Compute median, quartiles and interquartile range by sub-groups
median_iqr.survey.design | Compute median, quartiles and interquartile range by sub-groups
multinom_add_global_p_pivot_wider | Helpers for grouped tables generated with 'gtsummary'
num_cycle | Comparison tests considering 'NA' as values to be compared
observed_vs_theoretical | Plot observed vs predicted distribution of a fitted model
periods_to_long | Transform a data frame from period format to long format
plot_categorical | Plot a categorical variable by sub-groups
plot_continuous | Plot a continuous variable by sub-groups
plot_inertia_from_tree | Plot inertia, absolute loss and relative loss from a classification tree
plot_means | Plot means by sub-groups
plot_multiple_answers | Plot a multiple answers question
plot_multiple_answers_dodge | Plot a multiple answers question
plot_periods | Plot trajectories
plot_proportions | Plot proportions by sub-groups
plot_trajectories | Plot trajectories
proportion | Compute proportions
proportion.data.frame | Compute proportions
proportion.default | Compute proportions
proportion.survey.design | Compute proportions
round_preserve_sum | Round values while preserve their rounded sum in R
safe_pal | A safe discrete colour palette
scale_color_safe | A safe discrete colour palette
scale_colour_safe | A safe discrete colour palette
scale_fill_safe | A safe discrete colour palette
step_with_na | Apply 'step()', taking into account missing values
step_with_na.default | Apply 'step()', taking into account missing values
step_with_na.svyglm | Apply 'step()', taking into account missing values
stratified_by | Plot proportions by sub-groups
style_grouped_tbl | Helpers for grouped tables generated with 'gtsummary'
svyoneway | Test for Equal Means for survey design object
svyttest_oneway | Additional tests for 'gtsummary'
tbl_contributions | Variable contribution and Dominance analysis
tbl_dominance | Variable contribution and Dominance analysis
theme_gtsummary_bold_labels | Themes for 'gtsummary'
theme_gtsummary_fisher_simulate_p | Themes for 'gtsummary'
theme_gtsummary_prop_n | Themes for 'gtsummary'
theme_gtsummary_unweighted_n | Themes for 'gtsummary'
titanic | Titanic data set in long format
total_deviance | Variable contribution and Dominance analysis
to_DT | Display the variable dictionary of a data frame in the RStudio viewer
unrowwise | Remove row-wise grouping
view_detailed_dictionary | Display the variable dictionary of a data frame in the RStudio viewer
view_dictionary | Display the variable dictionary of a data frame in the RStudio viewer