Package: jtools 2.3.0

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]

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jtools.pdf |jtools.html✨
jtools/json (API)
NEWS

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

Peer review:

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

Datasets:

On CRAN:

social-sciences

14.51 score 164 stars 14 packages 3.7k scripts 24k downloads 32 mentions 58 exports 52 dependencies

Last updated 2 months agofrom:8a0e79d11b. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 06 2024
R-4.5-winOKNov 06 2024
R-4.5-linuxOKNov 06 2024
R-4.4-winOKNov 06 2024
R-4.4-macOKNov 06 2024
R-4.3-winOKNov 06 2024
R-4.3-macOKNov 06 2024

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.mixedclicodacodetoolscolorspacecpp11digestdplyrfansifarverforcatsfurrrfuturegenericsggplot2globalsgluegtableisobandlabelinglatticelifecyclelistenvmagrittrMASSMatrixmgcvmunsellnlmepanderparallellypillarpkgconfigpurrrR6RColorBrewerRcpprlangsandwichscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithrzoo

Calculate correlations and correlation tables with complex survey data

Jacob Long

Rendered fromsvycor.Rmdusingknitr::rmarkdownon Nov 06 2024.

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

Tools for summarizing and visualizing regression models

Jacob Long

Rendered fromsumm.Rmdusingknitr::rmarkdownon Nov 06 2024.

Last update: 2022-04-25
Started: 2017-10-17

Visualizing regression model predictions

Jacob Long

Rendered fromeffect_plot.Rmdusingknitr::rmarkdownon Nov 06 2024.

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