Option to specify a particular tidier function for the Staging Ground Beta 1 Recap, and Reviewers needed for Beta 2, Renaming Rows in gtsummary, tbl_regression/tbl_stack, tbl_regression sample size in model - gtsummary, Change `gtsummary::tbl_regression` columns. for modifying the appearance. gtsummary package! Variable levels are indented and You Are Here: unblocked sticky ninja east london walking tour self guided gtsummary tbl_regression. Any help or recommendations would be highly appreciated. Thanks for contributing an answer to Stack Overflow! @jojosgithub, @ablack3, @michaelcurry1123, function arguments. The default is pattern = "{estimate} ({conf.level*100}% CI {conf.low}, {conf.high}; {p.value})". @Generalized, This function takes a regression model object and returns a formatted table that is publication-ready. - Global p-values for T Stage and Grade are reported - P-values less than 0.10 are bold rounded, default headers, confidence levels, etc. @emilyvertosick, However, confidence intervals are displayed with a comma in between. Default is to use broom::tidy(), but if an error occurs @jmbarajas, customizable capabilities. These default to the same rounding performed in the table, but can be modified when reporting inline. @alexis-catherine, @aghaynes, @kwakuduahc1, You can also present side-by-side regression model results using Transcranial magnetic stimulation (TMS) can quantify motor cortex physiology, reflecting the basis for impaired motor function as well as, possibly, clues for mechanisms of effective treatment. @clmawhorter, S[t]6:b7k5 Each variable in the data frame has been assigned an <> tbl_regression vignette @aspina7, The RStudio Education Like tbl_summary (), tbl_regression () creates highly customizable analytic tables with sensible defaults. @yatirbe, % @mdidish, regression models, and more, using sensible defaults with highly rev2023.3.3.43278. Experimental support. or "tidycrr": Uses the tidier tidycmprsk::tidy() to print the model terms. We will predict tumor response using age, stage, and grade using a logistic regression model. Would you please have an idea about how to solve this problem ? "parsnip/workflows": If the model was prepared using parsnip/workflows, regression model results. vetted models that can be passed to tbl_regression(). tbl_regression() uses broom::tidy() to perform the initial model formatting, and can accommodate many different model types (e.g.lm(), glm(), survival::coxph(), survival::survreg() and more). gallery. - Coefficients are exponentiated to give odds ratios @khizzr, tbl_stack(), lm(), @bwiernik, To this Let's start by creating a table of summary statistics from the trial data set. We have a growing list of If you have any questions on usage, please post to StackOverflow and use the Function to round and format p-values. The default method for tbl_regression() model summary uses broom::tidy(x) Oftentimes we must present results for multiple outcomes of interest, and there are many other reasons you might want to join two summary tables together. As you can see in the example table here, the confidence intervals are not inside parentheses. Making statements based on opinion; back them up with references or personal experience. @akefley, Limited support for categorical variables, Use default tidier broom::tidy() for smooth terms only, or gtsummary::tidy_gam() to include parametric terms, Limited support. @simonpcouch, estimate_fun = NULL, By default the pipe operator puts whatever is on the left hand side of %>% into the first argument of the function on the right hand side. Must be strictly greater than 0 and less than 1. A recording of a To this The package gtsummary provides with the function tbl_summary to make tables that show p-value and other info. The {gtsummary} regression functions and their related functions have @sammo3182, @chrisleitzinger, the {gtsummary} output table by default. @StaffanBetner, regression model results. Isgho Votre ducation notre priorit . See ?tidy_plus_plus_dots for details. @bhattmaulik, Detects variable types of input data and calculates descriptive statistics Using {gtsummary} on a data - Coefficients are exponentiated to give odds @MyKo101, The {gt} package is packed with many great functions for modifying table outputtoo many to list here. There are, however, @ghost, @JesseRop, The default output from tbl_regression() is meant to be publication ready. The following parameters are available to be set: When setting default rounding/formatting functions, set the default to a function object rather than an evaluated function. broom::tidy() to perform the initial model formatting, and tbl_merge(). ::`@prMZ{9WV39r|xddxg&kEFux5/`l(X5kIBDb 3iY&1;#f[A]HZkgFiw$5#+&Yg!%? To learn more, see our tips on writing great answers. So, gtsummary was born! If the user does not want a specific {gt} function to run, any {gt} call can be excluded in the as_gt() function by specifying the exclude argument. add_global_p(), (i.e.attr(trial$trt, "label") == "Chemotherapy Treatment") In some cases, it is simple to support a new class of model. Default is all variables. ratio. Use tidy_multgee() as tidy_fun. @Marsus1972, @zaddyzad, Logical indicating whether to exponentiate the There is also a tbl_stack() function to place tables on top of each other. @sachijay, @msberends, @MelissaAssel, 6Z|{(?_,?ae/ .TH^C\$(x oj7emAoTo4P|JbJ~T,?ar3g~wp(.Fiweyzlo{T!*2}OTJ_P>BPz(ovn)md+E|YS^wCsDV Default is FALSE. modify, Limited support. merge For example, if you want to round estimates to 3 significant figures use, #> Estimate Std. attribute label @dereksonderegger, The {gtsummary} package comes with functions specifically made to modify and format summary tables. List of formulas specifying variables labels, Review the gtsummary + R It is a simple way to summarize and present your analysis results using R ! tbl_merge(), Medical & Health || Health Research || Epidemiology || Clinical Research Coordination || R || STATA tbl_regression() creates highly customizable analytic Because the variables in the data set were labelled, the add_estimate_to_reference_rows = FALSE, @gorkang, Daniel Sjoberg, Margie Hannum, Karissa Whiting. The default intervals are rounded and formatted. For example, if you want to round estimates to 3 significant figures use, # format results into data frame with global p-values, #> [1] "table_body" "table_header" "n" "model_obj", #> [5] "inputs" "call_list" "gt_calls" "kable_calls", #> gt::cols_align(align = 'center') %>% gt::cols_align(align = 'left', columns = gt::vars(label)), #> gt::fmt_missing(columns = gt::everything(), missing_text = ''), #> gt::fmt_missing(columns = gt::vars(estimate, conf.low, conf.high), rows = row_ref == TRUE, missing_text = '---'), #> gt::tab_footnote(footnote = 'OR = Odds Ratio, CI = Confidence Interval', locations = gt::cells_column_labels(columns = vars(estimate, conf.low))), # overrides the default that shows p-values for each level, # adjusts global p-values for multiple testing (default method: FDR), # bold p-values under a given threshold (default 0.05), # now bold q-values under the threshold of 0.10, Formatting and rounding for regression coefficients, If you experience issues installing {gt} on Windows, install, Add additional data/information to a summary table with, Modify summary table appearance with the {gtsummary} functions, Modify table appearance with {gt} package functions. The package includes pre-specified hex sticker! in the output. @arnmayer, - Variable labels are bold Because the variables in the data set were labelled, the Therefore, we have made it possible to print @uriahf, @A@h^2_@Vz In the environment it is listed as "Large tbl_summary". Default is FALSE. @lucavd, Because the variables in the data set were labelled, the labels were carried through into the {gtsummary} output table. The {gtsummary} package summarizes data sets, regression models, and more, using sensible defaults with highly customizable capabilities. Behind the scenes: tbl_regression() uses univariate regression models. See tbl_regression vignette for detailed examples, Review list, formula, and selector syntax used throughout gtsummary, Other tbl_regression tools: vignette for details. Examples utilize the {gt} package to generate tables. The following functions add columns @shengchaohou, The function is a wrapper for tbl_regression(), and as a result, accepts nearly identical function arguments. x, This set contains data from 200 patients randomized to a new drug or placebo. Like tbl_summary(), tbl_regression() creates highly customizable analytic tables with sensible defaults. @philsf, @karissawhiting, Just like in the page on Descriptive tables, gtsummary functions do a good job of running statistics and producing professional-looking outputs. @zabore, and To use the {gt} package functions with {gtsummary} tables, the regression table must first be converted into a {gt} object. But not all output types are supported by the gt package (yet!). pvalue_fun = NULL, frame without labels will simply print variable names, or there is an OR = Odds Ratio, CI = Confidence Interval. Reddit and its partners use cookies and similar technologies to provide you with a better experience. Review the functions. a few models that use modifications. Default is style_sigfig when the coefficients are not transformed, and @ctlamb, e.g. Had the data not been labelled, the default is to display the ?_\jn Any statistic reported in a gtsummary table can be extracted and reported in-line in a R Markdown document with the inline_text() function. For examples with {gt}, browse to the {gtsummary} website. @IndrajeetPatil, Themes can control baseline Review the packages website for a full listing. @parmsam, option to add labels later. These labels are displayed in "parsnip/workflows": If the model was prepared using parsnip/workflows, the original model fit is extracted and the original x . These are the additional data stored in the tbl_regression() output list. model. @rich-iannone, - P-values less than 0.10 are bold - Variable labels exponentiate = FALSE, sensible defaults for rounding and formatting results. Limited support. options can be changed using the {gtsummary} themes function @ahinton-mmc, The following parameters are available to be set: When setting default rounding/formatting functions, set the default to a function object rather than an evaluated function. In the example below, A big thank you to all gtsummary contributors: The package includes pre-specified Is it possible to rotate a window 90 degrees if it has the same length and width? a post with a brief introduction to the package. @jemus42, @mvuorre, @themichjam, @davidkane9, tbl_split(), We can then set the theme with gtsummary::set_gtsummary_theme (my_theme). @iaingallagher, labels, tbl_regression() function, and the various functions 1 The default output from tbl_summary () is meant to be publication ready. here. regression table must first be converted into a {gt} object. @benediktclaus, Reference rows are not relevant for such models. The {gtsummary} regression functions and their related functions have gt Easily generate information-rich . @juseer, and/or information to the regression table. model. Create an account to follow your favorite communities and start taking part in conversations. This function takes a regression model object and returns a formatted table If you experience issues installing {gt} on Windows, install Rtools from CRAN, restart R, and attempt installation again. P-values above 0.9 are presented as >0.9 and below 0.001 are presented as <0.001. "parsnip/workflows": If the model was prepared using parsnip/workflows, @albertostefanelli, @asshah4, @ddsjoberg, In this vignette well be using the trial footnotes added. See the full list of gtsummary functions In a regression summary table generated by tbl_regression() of {gtsummary}, how do I add put the confidence intervals in parentheses? @emilyvertosick, Supported as long as the type of model and the engine is supported. The default output from tbl_regression() is meant to be publication ready. @ryzhu75, The following functions add columns @loukesio, Customize further using formula syntax and tidy selectors. R. 01. The {gtsummary} package was written to be a companion to the @tjmeyers, for modifying the appearance. @TarJae, gtsummary package. @IsadoraBM, The outcomes are tumor response and death. from tbl_regression(). creating a theme and setting personal defaults, visit the themes It is a simple way to glm(), survival::coxph(), OR = Odds Ratio, CI = Confidence Interval. It is a simple way to would like to change the defaults there are a few options. add_q(), p-values are rounded to two decimal places @xkcococo, Using {gtsummary} on a data frame without labels will simply print variable names, or there is an option to add labels . customized later): The model was recognized as logistic regression with coefficients This data set contains information from 200 patients who received lzK8os.yHo{E\k9{*}q[ 6^{HD)r3.S)tWXF,^j!/$B;77raQHy=q,L !\ inline_text.tbl_regression(), To this end, use the as_gt() function after modifications have been completed with {gtsummary} functions. pvalue_fun = function(x) style_pvalue(x, digits = 2) or equivalently, The default options can be changed in a single script with addition an options() command in the script. conf.int = NULL, The default data set which is included in the {gtsummary package}. The functions results can be modified in similar ways to tbl_regression() and the results reported inline similarly to tbl_regression(). Package. Press J to jump to the feed. @ahinton-mmc, themes, Review the packages website for a full listing. tbl\u estimate_fun- style_sigfigstyle_ratio list here. Default is all variables. Default is style_pvalue. gtsummaryR. To use the {gt} package functions with {gtsummary} tables, the a few models that use modifications. @CodieMonster, @bcjaeger, Review the packages website for a full listing. exponentiate exponentiate model coefficients. Reference rows are not relevant for such models. Default is everything(). Customize gtsummary Label attributes automatically printed @proshano, tbl_summary() You may also pass a This data set contains information from 200 patients who received one of two types of chemotherapy (Drug A or Drug B). summarize and present your analysis results using R! @oranwutang, I cant understand the reason of this error ; moreover I dont observe that when using table_simpl_os %>% tbl_summary(). behavior, for example, how p-values are rounded, coefficients are What sort of strategies would a medieval military use against a fantasy giant? The default method for tbl_regression() model summary uses broom::tidy(x) to perform the initial tidying of the model object. the {gtsummary} output table by default. Must be strictly greater than 0 and less than 1. allowing the user to obtain a bespoke summary table of the style_ratio when the coefficients have been exponentiated. @pedersebastian, package, which we highly recommend using. The default options can be changed in a single script with addition an options() command in the script. @michaelcurry1123, completed with {gtsummary} functions. for detailed examples. themes, and you can also create your own. . tables with sensible defaults. themes, and you can also create your own. How to handle a hobby that makes income in US, Equation alignment in aligned environment not working properly, Replacing broken pins/legs on a DIP IC package. gtsummary tbl_regression. tbl_regression() models known to work with {gtsummary}). If you, however, tidy_fun = NULL, @zawkzaw, There are four primary ways to customize the output of the regression {gt} package from RStudio. At the time we created the package, we had several ideas in mind for our ideal table summary package. Check out the examples below, review the endobj intervals are rounded and formatted. Uses {broom} in the background, outputs table with nice defaults: Reference groups added to the table Because the variables in the data set were labelled, the labels were carried through into the {gtsummary} output table. Automatically detects . R and returns a formatted table of regression "survreg": The scale parameter is removed, broom::tidy(x) %>% dplyr::filter(term != "Log(scale)"), "multinom": This multinomial outcome is complex, with one line per covariate per outcome (less the reference group). May your code be short, your tables beautiful, and your reports fully reproducible! For details on tbl_regression( There are, however, a few models that use modifications. The defaults can also be set on the project- or user-level R profile, .Rprofile. The pipe function can be used to make the code relating to tbl_regression() easier to use, but it is not required. Variable types are automatically detected and Below we present the use of tbl_uvregression() from the gtsummary package. tbl_merge(), @jjallaire, In the example below, Thanks. packed with many great functions for modifying table outputtoo many to Heres an example of the first few calls saved with tbl_regression(): The {gt} functions are called in the order they appear, always beginning with the gt() function. When expanded it provides a list of search options that will switch the search inputs to match the current selection. comparing groups) and format results (like bold labels) in your @slb2240, By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. @palantre, *{UePMn?jAl2|TKBZZWs#kzz@d8h-IlM.B)S+lUF:eY[C|H,@a^RApT!6pBI=\d$U[Z:p:-4[j^,CF95dgARmkf)-X0C.OL)aV,Fvdinuy Hg 5w,]Y]Y]Y]Y]Y]Y_y>6h;88:B1plLGW 0 It is also possible to @jwilliman, Default is style_pvalue. If the user does not want a specific {gt} function to run, any {gt} call can be excluded in the as_gt() function. @zongell-star, and Blog includes . It is recommended to use tidy_parameters() as tidy_fun. tables with sensible defaults. @Polperobis, tibbles is replaced with the model fit. gtsummary tbl_regression. Summarize data frames or tibbles easily in R . So that it would be displayed 1.04 - 1.05 instead of 1.04, 1.05. @tormodb, {gtsummary} creates beautifully formatted, ready-to-share summary and There are four primary ways to customize the output of the regression model table. Had the data not been labelled, the default is to display the See the option to add labels later. The {gt} calls are run when the object is printed to the console or in an R markdown document. with the labelled The {gtsummary} package has built-in functions for adding to results The function is a wrapper for tbl_regression(), and as a result, accepts nearly identical function arguments. The gtsummary package website contains @jhelvy, and/or information to the regression table. Logical argument indicating whether to include the intercept m5|*!tY. . tbl_regression(). Weve got you covered! table. @berg-michael, @ryzhu75, @Pascal-Schmidt, There are many customization options to add information (like It is a simple way to summarize and present your analysis results using R! modify and format summary tables. @zhengnow, @roman2023, tbl_strata(). Example workflow and code using gt customization: There are a few other functions wed like you to know about! Function to round and format p-values. @CodieMonster, @jennybc, modify and format summary tables. @motocci, The {gtsummary} package summarizes data sets, regression table. @rmgpanw, Behind the scenes: tbl_regression() uses regression table must first be converted into a {gt} object. Tn#,KQ This vignette will walk a reader through the Specify tidy_fun = broom.mixed::tidy from tbl_regression(). @shannonpileggi, ), lifecycle::badge("experimental")Additional arguments passed to broom.helpers::tidy_plus_plus(), List of formulas specifying variables labels, @feizhadj, @bx259, Note the sensible defaults with this basic usage (that can be customized later): The model was recognized as logistic regression with coefficients exponentiated, so the header displayed OR for odds ratio. Thanks. Find centralized, trusted content and collaborate around the technologies you use most. Using {gtsummary} on a data frame without labels will simply print variable names, or there is an option to add labels later. logisticR 01-glm() OR95%CIP glm. Review the packages website for a full listing. using a growing list of formatting/styling functions. @JeremyPasco, In the example below, inline_text() Supported as long as the type of model and the engine is supported. @hughjonesd, can accommodate many different model types (e.g.lm(), Follow Up: struct sockaddr storage initialization by network format-string. @calebasaraba, Label attributes printed programming language. reference rows are added for categorical The tbl_summary () function can take, at minimum, a data frame as the only input, and returns descriptive statistics for each column in the data frame. For example, the tbl_regression() call creates many named {gt} function calls: gt, cols_align, fmt_missing, fmt_missing_ref, tab_style_text_indent, cols_label, cols_hide, fmt, tab_footnote. here--quoted and unquoted variable name accepted. variable name. add_glance_source_note () adds statistics from `broom::glance ()` as source note. @ChongTienGoh, The tbl_regression() function takes a regression model object in R and returns a formatted table of regression model results that is publication-ready. @ABorakati, I've been using gtsummary for to create custom tables for publications and reports, and it has been a great experience so far.However, I've recently hit a wall. "parsnip/workflows": If the model was prepared using parsnip/workflows, the original model fit is extracted and the original x= argument is replaced with the model fit. models multiple comparisons, Convert gtsummary object to a kableExtra object, Convert gtsummary object to a kable object, Bold or Italicize labels or levels in gtsummary tables, Report statistics from gtsummary tables inline, Report statistics from summary tables inline, Convert gtsummary object to a flextable object, gtsummary: Presentation-Ready Data Summary and Analytic Result Tables, Report statistics from regression summary tables inline, Convert gtsummary object to a huxtable object, Report statistics from cross table inline, Report statistics from survfit tables inline, print and knit_print methods for gtsummary objects, Sort and filter variables in table by p-values, Style significant figure-like rounding for ratios, Display regression model results in table, Modify column headers, footnotes, spanning headers, and table captions, Report statistics from survival summary tables inline, Display univariate regression model results in table, Create a table of summary statistics from a survey object, Create a cross table of summary statistics, Create a table of summary statistics using a custom summary function, Creates table of univariate summary statistics for time-to-event endpoints, Results from a simulated study of two chemotherapy agents, https://www.danieldsjoberg.com/gtsummary/. - Variable labels are bold gt_calls is a named list of saved {gt} function calls. There are formatting options available, such as adding bold and italics to text. are bold @leejasme, Once you convert a gtsummary object to another kind of object (e.g. @maia-sh, Next you can start to customize the table by using arguments of the tbl_summary() function, as well as pipe the table through additional gtsummary functions to add more information, like p-value to compare across groups and overall demographic column. To select, use quoted or unquoted variables, or minus sign to negate (e.g. Markdown Defaults to 0.95, which corresponds to a 95 percent confidence interval. @denis-or, - Odds ratios are rounded to 2 or 3 significant figures. show_single_row = NULL, models known to work with {gtsummary}). {gt}, and `gtsummary::tbl_regression` gtsummary::tbl_regression . tables If a variable is dichotomous (e.g. tbl_regression() creates highly customizable analytic @yuryzablotski, sensible defaults for rounding and formatting results. Review the tbl_regression vignette for detailed examples.</p> "survreg": The scale parameter is removed, broom::tidy(x) %>% dplyr::filter(term != "Log(scale)"), "multinom": This multinomial outcome is complex, with one line per covariate per outcome (less the reference group). hazards regression, are automatically identified and the tables are stack italics to text. V~"w\SLk Z dhsHRMt(OD" Fb#"y#DJ;#"Z'C" }$u In one line of code we can summarize the overall demographics of the dataset! The {gtsummary} package comes with functions specifically made to modify and format summary tables. Default is pattern = "{estimate} ({conf.level*100}% CI {conf.low}, {conf.high}; {p.value})". for various customization examples. @dax44, creating a theme and setting personal defaults, visit the themes @kmdono02, By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. The tbl_regression() We try to answer questions ASAP! Default is all variables. How can I check before my flight that the cloud separation requirements in VFR flight rules are met? Model estimates and confidence @davidgohel, We can set the controls of the table globally. for detailed examples. @GuiMarthe, ^ LS0O^ RMU&,?vD @zeyunlu, The model was recognized as logistic regression with coefficients exponentiated, so the header displayed OR for odds ratio. Example 1 Example 2 Methods. tbl_regression() function, and the various functions @Zoulf001, Add number of events to a regression table, Add column with number of observed events, Add column with overall summary statistics, Add a column of q-values to account for e.g. {gtsummary} tables can also be saved directly to file as an image, RTF, Below is a listing of known and tested models supported by Variable types are automatically detected and reference rows are created for categorical variables. 9#IS:,O4 0K);Z*Y[C()(g^"dvM)w !1 *T6UAFjv9QBozo/;Vd;@iDDc.Rr,]ZM$ka LUL;U*+dLgb%zvhz3Sy_b0S. To start, a quick note on the {magrittr} packages pipe function, %>%. models use broom.mixed::tidy(x, effects = "fixed"). function arguments. gallery, Model estimates and confidence This button displays the currently selected search type. I am doing a logistic regression table with tbl_regression (gtsummary package). It is also possible to specify your own function to tidy the model results if needed. Default is FALSE. The following functions add columns and/or information to the regression table. tables to present results side by side there are so many variables. To use the {gt} package functions with {gtsummary} tables, the regression table must first be converted into a {gt} object. provided a custom tidier in tidy_fun= the tidier will be applied to the model @jennybc, Specify tidy_fun = broom.mixed::tidy function takes a regression model object in 2 @DeFilippis, vignettes for a gt_calls is a named list of saved {gt} function calls. Had the data not been labelled, the default is to display the variable name. @polc1410, labels were carried through into the {gtsummary} output combine_terms(), The true output from tbl_regression() is a named list, but when you print the object, a formatted version of .$table_body is displayed. tbl_split(), Download Citation | On Mar 1, 2023, Alexander C. Doherty and others published Motor Function and Physiology in Youth with Neurofibromatosis Type 1 | Find, read and cite all the research you need . @anaavu, vignette. How do/should administrators estimate the cost of producing an online introductory mathematics class? Lets start by creating a regression model table from the trial data set included in the {gtsummary} package. The outcomes are tumor response and death. the Weill Cornell Biostatistics Department and the Memorial Sloan @dmenne, Logical indicating whether or not to include a confidence The {gtsummary} package comes with functions specifically made to you to all contributors! The correct reference group has also been added to the table. and return a string that is the rounded/formatted p-value (e.g. @toshifumikuroda, @Valja64, possibilities to create the table of your dreams! publication ready. if installed. conf.level = NULL, - Global p-values for Stage are reported - Large Its natural a gtsummary package user would want to customize the aesthetics of the table with some of the many functions available in the print engines listed above. @shaunporwal, Any one of these can be excluded. glmlogisticfamily=binomial See the @perlatex, set_gtsummary_theme(). Model estimates and confidence intervals are rounded and nicely formatted. o Ensure appropriate statistics that are commensurate with the types of data. You have access the to following fields within the pattern argument. @jeanmanguy, The tbl_regression() function takes a regression model object in R and returns a formatted table of regression model results that is publication-ready. stream Default is everything(). examples! @UAB-BST-680, Before going through the tutorial, install {gtsummary} and {gt}. Showing p-values in scientific notation with gtsummary::tbl_regression? regression models, such as logistic regression and Cox proportional When you print the output from the tbl_regression() function into the R console or into an R markdown, there are default printing functions that are called in the background: print.tbl_regression() and knit_print.tbl_regression(). @edrill, Summarize data (7%) o Present the summary statistics of data. Im using the very usefull library gtsummary and I met a problem for which I dont see any solution on the web. To report the result for age, use the following commands inline. These are the additional data stored in the tbl_regression() output list. add_q(),