Package index • apastats2

APA-style reporting

apa(): Format statistical results in APA style
apa_binom_mean_conf(): Format binomial proportions and confidence intervals in APA style
apa_ezStats(): Describe ezStats results
apa_format_mean_conf(): Format mean and confidence interval values into APA-style string
apa_mean_and_t(): Compare means with t-tests and format in APA style
apa_mean_conf(): Format means and confidence intervals in APA style
apa_mean_sd(): Format means and standard deviations in APA style
apa(<BFBayesFactor>): Describe BayesFactor results
apa(<afex_aov>): Describe afex ANOVA results
apa(<anova>): Describe the results of ANOVA models or model comparisons
apa(<anova.merMod>): Describe lmerTest anova results
apa(<aov>) apa(<aovlist>): Describe stats::aov results
apa(<brmsfit>): Describe brms model results
apa(<chisq.test>): Format chi-square test results in APA style
apa(<dip.test>): Describe Hartigans' dip test results
apa(<ezANOVA>): Describe ezANOVA results
apa(<glm>) apa(<lm>) apa(<glmerMod>) apa(<lmerModLmerTest>): Describe regression model (GLM, GLMer, lm, lm.circular, ...)
apa(<htest>): Format t-test results in APA style
apa(<linearHypothesis>): Describe linearHypothesis test results
apa(<list>): Format results from list objects in APA style
apa(<r>): Format correlation test results in APA style
apa(<roc.test>) apa(<roc.diff>): Describe differences between ROC curves
apa(<summary.merMod>) apa(<lmert>): Describe lmerTest results
apa(<summary_emm>) apa(<emmeans>): Describe contrasts created by emmeans
apa(<ttest>): Format t-test results in APA style

Confidence intervals and plotting

get_adjusted_ci() get_superb_ci(): Get adjusted confidence intervals or standard errors
plot_pointrange(): Pointrange plot
table_mean_conf(): Get formatted means and confidence intervals
table_mean_conf_by(): Get formatted means and confidence intervals by group
binom_ci(): Binomial confidence interval as a vector
base_breaks() base_breaks_x() base_breaks_y(): Tufte-like breaks for axes
scale_y_exp(): Exponentiate scale

Model helpers

ins_lmer(): Describe lmer in-text
lmer_fixef(): Get nice matrix of fixed effects from lmer

Utilities

adv_cut(): Cut a numeric variable into groups (bins) with advanced options
aggr2(): Double aggregation
drop_empty_cols(): Drop empty columns from a data.frame
f_round(): Formatted rounding
format_results(): Format results
lengthu(): Length of unique values
load_libs(): Quietly load libraries
mean_nn(): Mean with na.rm=TRUE
mean_round(): Rounded mean
omit_zeroes(): Omit leading zero from number
paste_and(): Paste several strings, add 'and' before last
round_p(): Round p-value
sd_nn(): SD with na.rm=TRUE
sd_round(): Rounded SD
seq_mean(): Get the means between the points of a sequence
sum_nn(): Sum with na.rm=TRUE

Datasets

memory_noise: Memory bias under relative-noise manipulations

Deprecated compatibility

describe.ttest() describe.r() describe.chi() describe.Anova() describe.aov() describe.anova() describe.afex() describe.bf() describe.brm() describe.dip.test() describe.emmeans() describe.ezanova() describe.ezstats() describe.glm() describe.lht() describe.lmer() describe.lmert() describe.lmtaov() describe.lsmeans() describe.roc.diff() describe.mean.sd() describe.mean.conf() describe.binom.mean.conf() describe.mean.and.t() mymean() mysum() mysd() mean(<nn>) sd.nn() sum(<nn>) drop.empty.cols() binom.ci() mean(<round>) sd.round() load.libs() lmer.fixef() omit.zeroes() f.round() base.breaks() base.breaks.x() base.breaks.y() plot(<pointrange>): Deprecated functions in the apastats2 package