Package: jtools 2.3.1

jtools: Analysis and Presentation of Social Scientific Data

This is a collection of tools for more efficiently understanding and sharing the results of (primarily) regression analyses. There are also a number of miscellaneous functions for statistical and programming purposes. Support for models produced by the survey and lme4 packages are points of emphasis.

Authors:Jacob A. Long [aut, cre]

jtools_2.3.1.tar.gz
jtools_2.3.1.zip(r-4.7)jtools_2.3.1.zip(r-4.6)jtools_2.3.1.zip(r-4.5)
jtools_2.3.1.tgz(r-4.6-any)jtools_2.3.1.tgz(r-4.5-any)
jtools_2.3.1.tar.gz(r-4.7-any)jtools_2.3.1.tar.gz(r-4.6-any)
jtools_2.3.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
jtools/json (API)
NEWS

# Install 'jtools' in R:
install.packages('jtools', repos = c('https://jacob-long.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jacob-long/jtools/issues

Pkgdown/docs site:https://jtools.jacob-long.com

Datasets:

On CRAN:

Conda:

social-sciences

14.12 score 171 stars 13 packages 5.0k scripts 27k downloads 32 mentions 58 exports 47 dependencies

Last updated from:169f0bbd2d. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK263
source / vignettesOK292
linux-release-x86_64OK285
macos-release-arm64OK238
macos-oldrel-arm64OK302
windows-develOK236
windows-releaseOK217
windows-oldrelOK196
wasm-releaseOK202

Exports:%just%%just%<-%nin%%not%%not%<-add_gridlinesadd_x_gridlinesadd_y_gridlinesas_tibblecat_plotcat_wrapcentercenter_moddrop_gridlinesdrop_x_gridlinesdrop_y_gridlineseffect_plotexport_summsget_colorsget_dataget_formulaget_offset_nameget_response_nameget_robust_seget_weightsglancegscaleinteract_plotj_summjohnson_neymanmake_new_datamake_predictionsmd_tablemsg_wrapnum_printpartializepf_sv_testplot_coefsplot_summspredict_merModprobe_interactionscale_lmscale_modset_summ_defaultssim_slopesstandardizestop_wrapsummsvycorsvysdtheme_apatheme_nicetidywarn_wrapweights_testswgttestwrap_strwtd.sd

Dependencies:backportsbroombroom.mixedclicodacodetoolscpp11digestdplyrfarverforcatsfurrrfuturegenericsggplot2globalsgluegtableisobandlabelinglatticelifecyclelistenvmagrittrnlmepanderparallellypillarpkgconfigpurrrR6RColorBrewerRcpprlangS7sandwichscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithrzoo

Calculate correlations and correlation tables with complex survey data

Jacob Long

Rendered fromsvycor.Rmdusingknitr::rmarkdownon May 20 2026.

Last update: 2020-11-17
Started: 2017-02-03

Tools for summarizing and visualizing regression models

Jacob Long

Rendered fromsumm.Rmdusingknitr::rmarkdownon May 20 2026.

Last update: 2026-01-15
Started: 2017-10-17

Visualizing regression model predictions

Jacob Long

Rendered fromeffect_plot.Rmdusingknitr::rmarkdownon May 20 2026.

Last update: 2022-04-25
Started: 2019-02-08

Readme and manuals

Help Manual

Help pageTopics
Not '%in%'%nin%
Subsetting operators%just% %just%.data.frame %just%.default %just%.list %just%.matrix %just%<- %just%<-.data.frame %just%<-.default %just%<-.list %just%<-.matrix %not% %not%.data.frame %not%.default %not%.list %not%.matrix %not%<- %not%<-.data.frame %not%<-.default %not%<-.list %not%<-.matrix
Add and remove gridlinesadd_gridlines add_x_gridlines add_y_gridlines drop_gridlines drop_x_gridlines drop_y_gridlines
Mean-center vectors, data frames, and survey designscenter
Center variables in fitted regression modelscenter_lm center_mod
Plot simple effects in regression modelseffect_plot
Export regression summaries to tablesexport_summs
Get colors for plotting functionsget_colors
Retrieve formulas from model objectsget_formula get_formula.brmsfit get_formula.default get_formula.panelmodel
Utility functions for generating model predictionsget_data get_offset_name get_response_name get_weights
Calculate robust standard errors and produce coefficient tablesget_robust_se
Scale and/or center data, including survey designsgscale
Deprecated interaction functionscat_plot interact_plot johnson_neyman probe_interaction sim_slopes
Color palettes in 'jtools' functionsjtools_colors
knitr methods for summknit_print.summ.glm knit_print.summ.lm knit_print.summ.merMod knit_print.summ.rq knit_print.summ.svyglm
Make new data for generating predicted data from regression models.make_new_data
Generate predicted data for plotting results of regression modelsmake_predictions make_predictions.default
Print attractive data frames in the consolemd_table
Data about moviesmovies
Numbering printing with signed zeroes and trailing zeroesnum_print
Adjust observed data for partial residuals plotspartialize partialize.default
Test whether sampling weights are neededpf_sv_test
Plot Regression Summariesplot_coefs plot_summs
Alternative interface for 'merMod' predictionspredict_merMod
Scale variables in fitted regression modelsscale_lm scale_mod scale_mod.default
Set defaults for 'summ()' functionsset_summ_defaults
Standardize vectors, data frames, and survey designsstandardize
Regression summaries with optionsj_summ summ
Generalized linear regression summaries with optionsj_summ.glm summ.glm
Linear regression summaries with optionsj_summ.lm summ.lm
Mixed effects regression summaries with optionsj_summ.merMod summ.merMod
Quantile regression summaries with optionssumm.rq
Complex survey regression summaries with optionsj_summ.svyglm summ.svyglm
Calculate Pearson correlations with complex survey datasvycor
Calculate standard deviations with complex survey datasvysd
Format ggplot2 figures in APA styletheme_apa
A nice, flexible 'ggplot2' themetheme_nice
Broom extensions for summ objectsglance.summ.glm glance.summ.lm glance.summ.merMod glance.summ.rq glance.summ.svyglm tidy.summ tidy.summ.merMod
Test whether sampling weights are neededweights_tests
Test whether sampling weights are neededwgttest
'cat', 'message', 'warning', and 'stop' wrapped to fit the console's width.cat_wrap msg_wrap stop_wrap warn_wrap wrap_str
Weighted standard deviation calculationwtd.sd