Learn R Programming

MOTE

We gladly take comments and updates! You can check out videos on my YouTube channel, as well as watching or starring the github repo.

You can look at our how-to guide by going to: https://www.aggieerin.com/shiny-server/. This information is also present in the help files for each function, however, pictures are included on the website.

You can now install MOTE directly from CRAN: install.packages("MOTE").

To install the development version of the package take the following steps:

  1. Install devtools if you do not have it. devtools is a package that allows you to install packages from github.

install.packages("devtools")

  1. Install the MOTE package by running the following:

devtools::install_github("doomlab/MOTE")

  1. Load the library to get started!

library(MOTE)

  1. Enjoy MOTE.

You can also use the Shiny App!

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Version

Install

install.packages('MOTE')

Monthly Downloads

658

Version

1.2.2

License

LGPL-3

Issues

2

Pull Requests

0

Stars

16

Forks

12

Maintainer

Erin M. Buchanan

Last Published

December 15th, 2025

Functions in MOTE (1.2.2)

delta_ind_t

\(d_{\delta}\) for Between Subjects with Control Group SD Denominator
dept_data

Dependent t Example Data
g_ind_t

\(d_g\) Corrected for Independent \(t\)
ges_partial_ss_mix

\(\eta^2_{G}\) (Partial Generalized Eta-Squared) for Mixed Design ANOVA from \(F\)
epsilon_full_ss

\(\epsilon^2\) for ANOVA from \(F\) and Sum of Squares
eta_f

\(\eta^2\) and Coefficient of Determination (R\(^2\)) for ANOVA from \(F\)
eta_partial_ss

\(\eta^2_p\) for ANOVA from \(F\) and Sum of Squares
mix2_data

Mixed Two-Way ANOVA Example Data
indt_data

Independent-Samples t-Test Example Data
eta_full_ss

\(\eta^2\) for ANOVA from \(F\) and Sum of Squares
ges_partial_ss_rm

\(\eta^2_{G}\) (Partial Generalized Eta-Squared) for Repeated-Measures ANOVA from \(F\)
h_prop

Cohen's h for Independent Proportions
r_effect

r-family effect size wrapper
omega_f

\(\omega^2\) for ANOVA from \(F\)
omega_full_ss

omega^2 for One-Way and Multi-Way ANOVA from F
omega_g_ss_rm

omega^2_G (Generalized Omega Squared) for Multi-Way and Mixed ANOVA from F
r_correl

r to Coefficient of Determination (R\(^2\)) from F
omega_partial_ss_rm

omega^2_p (Partial Omega Squared) for Repeated Measures ANOVA from F
omega_partial_ss_bn

omega^2_p (Partial Omega Squared) for Between-Subjects ANOVA from F
odds_ratio

Odds Ratio from 2x2 Table
rm2_data

Repeated Measures Two-Way ANOVA Example Data
rm1_data

Repeated Measures One-Way ANOVA Example Data
singt_data

One-Sample t-Test Example Data
v_chi_sq

V for Chi-Square
ci_r2

Confidence interval for R^2 (exported helper)
apa

Format numbers for APA-style reporting
bn2_data

Between-Subjects Two-Way ANOVA Example Data
d_effect

General interface for Cohen's d
chisq_data

Chi-Square Test Example Data
d_single_t

Cohen's d for One-Sample t from Summary Stats
d_z_mean

Cohen's d for Z-test from Population Mean and SD
d_ind_t_t

Cohen's d from t for Independent Samples (Pooled SD)
d_prop

Cohen's d (SMD) for Independent Proportions (Binary Outcomes)
d_dep_t_avg

Cohen's d for Paired t Using the Average SD Denominator
d_ind_t

Cohen's d for Independent Samples Using the Pooled SD
d_dep_t_diff

Cohen's d for Paired t Using the SD of Difference Scores
bn1_data

Between-Subjects One-Way ANOVA Example Data
d_z_z

Cohen's d from z-statistic for Z-test
d_to_r

r and Coefficient of Determination (R2) from d
d_dep_t_diff_t

Cohen's d from t for Paired Samples Using the SD of Difference Scores
d_dep_t_rm

Cohen's d for Paired t Controlling for Correlation (Repeated Measures)
d_single_t_t

Cohen's d from t for One-Sample t-Test