Function reference • broom

All functions
`argument_glossary`	Allowed argument names in tidiers
`augment(<Mclust>)`	Augment data with information from a(n) Mclust object
`augment(<betareg>)`	Augment data with information from a(n) betareg object
`augment(<coxph>)`	Augment data with information from a(n) coxph object
`augment(<decomposed.ts>)`	Augment data with information from a(n) decomposed.ts object
`augment(<factanal>)`	Augment data with information from a(n) factanal object
`augment(<felm>)`	Augment data with information from a(n) felm object
`augment(<glm>)`	Augment a(n) glm object
`augment(<glmRob>)`	Augment a(n) glmRob object
`augment(<htest>)`	Augment data with information from a(n) htest object
`augment(<ivreg>)`	Augment data with information from a(n) ivreg object
`augment(<kmeans>)`	Augment data with information from a(n) kmeans object
`augment(<lm>)`	Augment data with information from a(n) lm object
`augment(<lmRob>)`	Augment a(n) lmRob object
`augment(<loess>)`	Tidy a(n) loess object
`augment(<mjoint>)`	Augment data with information from a(n) mjoint object
`augment(<nlrq>)`	Tidy a(n) nlrq object
`augment(<nls>)`	Augment data with information from a(n) nls object
`augment(<plm>)`	Augment data with information from a(n) plm object
`augment(<poLCA>)`	Augment data with information from a(n) poLCA object
`augment(<prcomp>)`	Augment data with information from a(n) prcomp object
`augment(<rlm>)`	Augment a(n) rlm object
`augment(<rq>)`	Augment data with information from a(n) rq object
`augment(<rqs>)`	Augment data with information from a(n) rqs object
`augment(<smooth.spline>)`	Tidy a(n) smooth.spline object
`augment(<speedlm>)`	Augment data with information from a(n) speedlm object
`augment(<stl>)`	Augment data with information from a(n) stl object
`augment(<survreg>)`	Augment data with information from a(n) survreg object
`augment_columns()`	add fitted values, residuals, and other common outputs to an augment call
`bootstrap()`	Set up bootstrap replicates of a dplyr operation
`tidy(<brmsfit>)`	Tidying methods for a brms model
`broom`	Convert Statistical Objects into Tidy Tibbles
`column_glossary`	Allowed column names in tidied tibbles
`confint_tidy()`	Calculate confidence interval as a tidy data frame
`tidy(<data.frame>)` `glance(<data.frame>)`	Tidiers for data.frame objects
`tidy(<durbinWatsonTest>)` `glance(<durbinWatsonTest>)`	Tidy/glance a(n) durbinWatsonTest object
`tidy(<lsmobj>)` `tidy(<ref.grid>)` `tidy(<emmGrid>)`	Tidy estimated marginal means (least-squares means) objects from the emmeans and lsmeans packages
`finish_glance()`	Add logLik, AIC, BIC, and other common measurements to a glance of a prediction
`fix_data_frame()`	Ensure an object is a data frame, with rownames moved into a column
`tidy(<geeglm>)`	Tidy a(n) geeglm object
`glance(<Arima>)`	Glance at a(n) Arima object
`glance(<Gam>)`	Glance at a(n) Gam object
`glance(<Mclust>)`	Glance at a(n) Mclust object
`glance(<aareg>)`	Glance at a(n) aareg object
`glance(<betareg>)`	Glance at a(n) betareg object
`glance(<biglm>)`	Glance at a(n) biglm object
`glance(<binDesign>)`	Glance at a(n) binDesign object
`glance(<cch>)`	Glance at a(n) cch object
`glance(<coxph>)`	Glance at a(n) coxph object
`glance(<cv.glmnet>)`	Glance at a(n) cv.glmnet object
`glance(<ergm>)`	Glance at a(n) ergm object
`glance(<factanal>)`	Glance at a(n) factanal object
`glance(<felm>)`	Glance at a(n) felm object
`glance(<fitdistr>)`	Glance at a(n) fitdistr object
`glance(<garch>)`	Tidy a(n) garch object
`glance(<glm>)`	Glance at a(n) glm object
`glance(<glmRob>)`	Glance at a(n) glmRob object
`glance(<glmnet>)`	Glance at a(n) glmnet object
`glance(<gmm>)`	Glance at a(n) gmm object
`glance(<ivreg>)`	Glance at a(n) ivreg object
`glance(<kmeans>)`	Glance at a(n) kmeans object
`glance(<lavaan>)`	Glance at a(n) lavaan object
`glance(<lm>)` `glance(<summary.lm>)`	Glance at a(n) lm object
`glance(<lmRob>)`	Glance at a(n) lmRob object
`glance(<lmodel2>)`	Glance at a(n) lmodel2 object
`glance(<mjoint>)`	Glance at a(n) mjoint object
`glance(<muhaz>)`	Glance at a(n) muhaz object
`glance(<multinom>)`	Glance at a(n) multinom object
`glance(<nlrq>)`	Glance at a(n) nlrq object
`glance(<nls>)`	Glance at a(n) nls object
`glance(<orcutt>)`	Glance at a(n) orcutt object
`glance(<plm>)`	Glance at a(n) plm object
`glance(<poLCA>)`	Augment data with information from a(n) poLCA object
`glance(<pyears>)`	Glance at a(n) pyears object
`glance(<ridgelm>)`	Glance at a(n) ridgelm object
`glance(<rlm>)`	Glance at a(n) rlm object
`glance(<rq>)`	Glance at a(n) rq object
`glance(<smooth.spline>)`	Tidy a(n) smooth.spine object
`glance(<speedlm>)`	Glance at a(n) speedlm object
`glance(<survdiff>)`	Glance at a(n) survdiff object
`glance(<survexp>)`	Glance at a(n) survexp object
`glance(<survfit>)`	Glance at a(n) survfit object
`glance(<survreg>)`	Glance at a(n) survreg object
`glance_optim()`	Tidy a(n) optim object masquerading as list
`insert_NAs()`	insert a row of NAs into a data frame wherever another data frame has NAs
`tidy(<list>)` `glance(<list>)`	Tidying methods for lists / returned values that are not S3 objects
`tidy(<merMod>)` `augment(<merMod>)` `glance(<merMod>)`	Tidying methods for mixed effects models
`tidy(<matrix>)` `glance(<matrix>)`	Tidiers for matrix objects
`tidyMCMC()` `tidy(<rjags>)` `tidy(<stanfit>)`	Tidying methods for MCMC (Stan, JAGS, etc.) fits
`glance(<gam>)`	Glance at a(n) gam object
`tidy(<gam>)`	Tidy a(n) gam object
`tidy(<lme>)` `augment(<lme>)` `glance(<lme>)`	Tidying methods for mixed effects models
`tidy(<>)` `glance(<>)` `augment(<>)`	Tidiers for NULL inputs
`tidy(<polr>)` `glance(<polr>)` `augment(<polr>)` `tidy(<clm>)` `tidy(<clmm>)` `glance(<clm>)` `glance(<clmm>)` `augment(<clm>)` `tidy(<svyolr>)` `glance(<svyolr>)`	Tidying methods for ordinal logistic regression models
`tidy(<rowwise_df>)` `tidy_(<rowwise_df>)` `augment(<rowwise_df>)` `augment_(<rowwise_df>)` `glance(<rowwise_df>)` `glance_(<rowwise_df>)` `tidy(<tbl_df>)` `augment(<tbl_df>)` `glance(<tbl_df>)`	Tidying methods for rowwise_dfs from dplyr, for tidying each row and recombining the results
`tidy(<stanreg>)` `glance(<stanreg>)`	Tidying methods for an rstanarm model
`tidy(<SpatialPolygonsDataFrame>)` `tidy(<SpatialPolygons>)` `tidy(<Polygons>)` `tidy(<Polygon>)` `tidy(<SpatialLinesDataFrame>)` `tidy(<Lines>)` `tidy(<Line>)`	Tidy a(n) SpatialPolygonsDataFrame object
`tidy(<dgTMatrix>)` `tidy(<dgCMatrix>)` `tidy(<sparseMatrix>)`	Tidy a sparseMatrix object from the Matrix package
`tidy(<summaryDefault>)` `glance(<summaryDefault>)`	Tidy/glance a(n) summaryDefault object
`tidy(<Arima>)`	Tidy a(n) Arima object
`tidy(<Gam>)`	Tidy a(n) Gam object
`tidy(<Kendall>)`	Tidy a(n) Kendall object
`tidy(<Mclust>)`	Tidy a(n) Mclust object
`tidy(<TukeyHSD>)`	Tidy a(n) TukeyHSD object
`tidy(<aareg>)`	Tidy a(n) aareg object
`tidy(<acf>)`	Tidy a(n) acf object
`tidy(<anova>)`	Tidy a(n) anova object
`tidy(<aov>)`	Tidy a(n) aov object
`tidy(<aovlist>)`	Tidy a(n) aovlist object
`tidy(<betareg>)`	Tidy a(n) betareg object
`tidy(<biglm>)`	Tidy a(n) biglm object
`tidy(<binDesign>)`	Tidy a(n) binDesign object
`tidy(<binWidth>)`	Tidy a(n) binWidth object
`tidy(<boot>)`	Tidy a(n) boot object
`tidy(<btergm>)`	Tidy a(n) btergm object
`tidy(<cch>)`	Tidy a(n) cch object
`tidy(<cld>)`	Tidy a(n) cld object
`tidy(<coeftest>)`	Tidy a(n) coeftest object
`tidy(<confint.glht>)`	Tidy a(n) confint.glht object
`tidy(<confusionMatrix>)`	Tidy a(n) confusionMatrix object
`tidy(<coxph>)`	Tidy a(n) coxph object
`tidy(<cv.glmnet>)`	Tidy a(n) cv.glmnet object
`tidy(<density>)`	Tidy a(n) density object
`tidy(<dist>)`	Tidy a(n) dist object
`tidy(<ergm>)`	Tidy a(n) ergm object
`tidy(<factanal>)`	Tidy a(n) factanal object
`tidy(<felm>)`	Tidy a(n) felm object
`tidy(<fitdistr>)`	Tidy a(n) fitdistr object
`tidy(<ftable>)`	Tidy a(n) ftable object
`tidy(<gamlss>)`	Tidy a(n) gamlss object
`tidy(<garch>)`	Tidy a(n) garch object
`tidy(<glht>)`	Tidy a(n) glht object
`tidy(<glm>)`	Tidy a(n) glm object
`tidy(<glmRob>)`	Tidy a(n) glmRob object
`tidy(<glmnet>)`	Tidy a(n) glmnet object
`tidy(<gmm>)`	Tidy a(n) gmm object
`tidy(<htest>)` `glance(<htest>)`	Tidy/glance a(n) htest object
`tidy(<ivreg>)`	Tidy a(n) ivreg object
`tidy(<kappa>)`	Tidy a(n) kappa object
`tidy(<kde>)`	Tidy a(n) kde object
`tidy(<kmeans>)`	Tidy a(n) kmeans object
`tidy(<lavaan>)`	Tidy a(n) lavaan object
`tidy(<lm>)` `tidy(<summary.lm>)`	Tidy a(n) lm object
`tidy(<lmRob>)`	Tidy a(n) lmRob object
`tidy(<lmodel2>)`	Tidy a(n) lmodel2 object
`tidy(<manova>)`	Tidy a(n) manova object
`tidy(<map>)`	Tidy a(n) map object
`tidy(<mjoint>)`	Tidy a(n) mjoint object
`tidy(<mle2>)`	Tidy a(n) mle2 object
`tidy(<muhaz>)`	Tidy a(n) muhaz object
`tidy(<multinom>)`	Tidying methods for multinomial logistic regression models
`tidy(<nlrq>)`	Tidy a(n) nlrq object
`tidy(<nls>)`	Tidy a(n) nls object
`tidy(<orcutt>)`	Tidy a(n) orcutt object
`tidy(<pairwise.htest>)`	Tidy a(n) pairwise.htest object
`tidy(<plm>)`	Tidy a(n) plm object
`tidy(<poLCA>)`	Tidy a(n) poLCA object
`tidy(<power.htest>)`	Tidy a(n) power.htest object
`tidy(<prcomp>)`	Tidy a(n) prcomp object
`tidy(<pyears>)`	Tidy a(n) pyears object
`tidy(<rcorr>)`	Tidy a(n) rcorr object
`tidy(<ridgelm>)`	Tidy a(n) ridgelm object
`tidy(<rlm>)`	Tidy a(n) rlm object
`tidy(<roc>)`	Tidy a(n) roc object
`tidy(<rq>)`	Tidy a(n) rq object
`tidy(<rqs>)`	Tidy a(n) rqs object
`tidy(<spec>)`	Tidy a(n) spec object
`tidy(<speedlm>)`	Tidy a(n) speedlm object
`tidy(<summary.glht>)`	Tidy a(n) summary.glht object
`tidy(<survdiff>)`	Tidy a(n) survdiff object
`tidy(<survexp>)`	Tidy a(n) survexp object
`tidy(<survfit>)`	Tidy a(n) survfit object
`tidy(<survreg>)`	Tidy a(n) survreg object
`tidy(<table>)`	Tidy a(n) table object
`tidy(<ts>)`	Tidy a(n) ts object
`tidy(<zoo>)`	Tidy a(n) zoo object
`tidy_irlba()`	Tidy a(n) irlba object masquerading as list
`tidy_optim()`	Tidy a(n) optim object masquerading as list
`tidy_svd()`	Tidy a(n) svd object masquerading as list
`tidy_xyz()`	Tidy a(n) xyz object masquerading as list
`tidy(<numeric>)` `tidy(<character>)` `tidy(<logical>)`	Tidy atomic vectors

Reference

All functions

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