Function reference • biostat

All functions
`all_chr_to_factor()`	!! Convert all character variables to factors
`biostat`	A Collection of Functions for Biostatistics and Biometry Lectures
`bs_freq_table_cont()` `pander(<bs_freq_table_cont>)`	Frequency table for continuous data
`ci_mean_boot()`	Basic nonparametric bootstrap confidence interval of mean
`ci_mean_t()`	t-distribution based confidence interval of mean
`coef_standardized()` `print(<lm_beta>)` `summary(<lm_beta>)` `print(<lm_beta_summary>)`	!! Compute Standardized Regression Coefficients
`standardized_coef()`	Deprecated functions in `biostat` package
`do_corr()` `print(<do_corr>)` `pander(<do_corr>)`	do_corr
`do_summary()` `print(<num_summaries>)`	Do numerical summaries by groups
`format_numbers()`	Format values of numeric columns in a dataframe.
`format_p_values()` `format_p()` `add_signif_stars()` `get_signif_stars()` `signif_syms_05s` `p05` `signif_syms_01s` `p01` `signif_syms_001s` `p001` `signif_syms_001` `signif_syms_01` `signif_syms_05` `signif_syms` `p05_01_001` `p05plus` `signif_stars_legend_2()` `signif_stars_legend()` `rm_zero()` `format_as_p_columns()`	!!! Format p-values
`gg_boxplot_plus()`	!! A boxplot with additional components
`head_tail()`	!! Show several first and last rows of a data frame
`is_unique()` `is_not_inique()`	Test which values are/are not unique in a vector
`make_cld()`	Make a compact letter display (cld) for pair-wise comparison
`make_relative_path()`	!!!
`objects_of_class()`	List objects of a certain class.
`parse_formula()`	Parse model formula.
`posthoc_anova()` `print(<posthoc_anova>)` `plot(<posthoc_anova>)`	!! Post-hoc tests for ANOVA and Welch ANOVA
`qq_data()` `coef(<qqdata>)` `plot(<qqdata>)`	!! Compute data for a qq-plot
`qq_plot()`	!! A QQ-plot for multiple groups
`scale_vector()`	Scale a vector
`standardize_path()`	Standardize string with path
`stat_normal_density()`	A ggplot2 layer that fits and plots normal density function
`q1()` `q3()` `n_missing()` `n_ok()` `n_nonmissing()` `iqv()`	!! Descriptive statistics
`test_normality()` `print(<test_normality>)` `pander(<test_normality>)`	Normality tests by groups
`tidy_ggedit_code()`	Extract and tidy code from ggedit object.
`trim()`	Trim certain proportion of the most extreme values

Reference

All functions