Package index • ParaAnita

Contingency Tables

Summarise binary and binomial proportion data in contingency tables.

binom_contingency() as_binom_contingency(): Binomial Contingency Table for Data with a Binary Outcome

contingency_table() xcontingency_table(): Contingency Tables for Two or More Categorical Variables

Compare Models

Compare related generalised linear models using anova and other measures.

anova_tbl(): Create Tibble from List of Anovas

comp_glm(): Compare Series of Nested GLMs

summanov(): List of Summary and Analysis of Deviance Objects for Related Univariable GLMs

univ_anova(): Analyses of Deviance Summarising Fits of Univariable GLMs

Contrasts

Contrast Attribute

Get, set or remove the contrasts attribute for selected categorical variables.

get_contr_data() set_contr_treat() `set_contr_treat<-`(): Get and Set Treatment Contrasts for Independent Variables in Data

get_contrasts() set_contrasts() `set_contrasts<-`(): Get and Set Contrasts Matrix for an Independent Variable in Data

Contrast Names

Get, set and manipulate contrast names.

contr_colnames() `contr_colnames<-`() `contr_colpfx<-`(): Get and Set Contrast Matrix Column Names

helm_names() `helm_names<-`(): Create and Set Names for Helmert Contrasts

Factors

Factor Levels

Enumerate, remove or select factors in data.

good_levels() drop_null() drop_zero(): Remove Levels of Independent Variable where Dependent Variable All Success or All Failure

expl_fcts(): Explanatory Factors in Data as List of Expressions

levels_data() nlevels_data(): Levels of all Factors in Data

Manipulate Factors

Group or transform factors in data.

add_grps(): Add Factors to Data Based on Grouped Levels of an Existing Factor

fct_to_num(): Factor as Numeric

Odds Ratios

Calculate odds ratios, their confidence intervals and associated probabilities.

odds_ratio() formula(<odds_ratio>): Odds Ratios, Standard Errors, Confidence Intervals and P-Values for Binomial GLMs

Plot Models

Plot model results and standard errors, with optional grouping of levels of selected categorical variables.

glm_plotlist(): Data for Plotting Univariable GLM Predictions and Error Bars for Multiple Independent Variables

glm_plotdata(): Collate Data for Plotting Univariable GLM Predictions with Error Bars

ggplot(<glm_plotdata>): Plot Model Predictions with Error Bars for Univariable GLM

var_labs(): Format or Lookup Variable Names for Plot Titles

Printing

Auxilliary print functions and printing of objects derived from ParaAnita S3 methods.

announce(): Announce Class for Consistent Printing

lf() print_lf(): Pipe-Friendly Line Feeds and Printing

print_all(): Print All (or More) of an Object

print(<announce>) print(<binom_contingency>) print(<contingency_table>) print(<odds_ratio>) print(<summ_anov>): S3 Print Methods

Simulate Data

Simulate Bernoulli and binomial proportion data sets with categorical explanatory variables.

bernoulli_data() binom_data(): Simulated Bernoulli and Binomial Proportion Data

Statistical Auxiliary Functions

Simplify statistical analysis with auxiliary functions.

chsqfish(): Chi-Squared or Fisher's Exact Test

starsig(): Stars for Statistical Significance

Tidy up workspace

Clear the workspace of related objects such as similarly named models.

rm_objects(): Remove Sequentially Numbered Objects from Workspace

Data

Datasets provided in ParaAnita.

budworm: Budworm Data