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A B C D E F G H I J K L M N O P Q R S T X Z
| broom-package | Convert Statistical Objects into Tidy Tibbles |
| aareg_tidiers | Tidy a(n) aareg object |
| aer_tidiers | Tidy a(n) ivreg object |
| argument_glossary | Allowed argument names in tidiers |
| Arima_tidiers | Tidy a(n) Arima object |
| auc_tidiers | Tidy a(n) roc object |
| augment.betareg | Augment data with information from a(n) betareg object |
| augment.clm | Tidying methods for ordinal logistic regression models |
| 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.lme | Tidying methods for mixed effects models |
| augment.lmRob | Augment a(n) lmRob object |
| augment.loess | Tidy a(n) loess object |
| augment.Mclust | Augment data with information from a(n) Mclust object |
| augment.merMod | Tidying methods for mixed effects models |
| 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.NULL | Tidiers for NULL inputs |
| augment.plm | Augment data with information from a(n) plm object |
| augment.poLCA | Augment data with information from a(n) poLCA object |
| augment.polr | Tidying methods for ordinal logistic regression models |
| augment.prcomp | Augment data with information from a(n) prcomp object |
| augment.rlm | Augment a(n) rlm object |
| augment.rowwise_df | Tidying methods for rowwise_dfs from dplyr, for tidying each row and recombining the results |
| 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.tbl_df | Tidying methods for rowwise_dfs from dplyr, for tidying each row and recombining the results |
| augment_.rowwise_df | Tidying methods for rowwise_dfs from dplyr, for tidying each row and recombining the results |
| augment_columns | add fitted values, residuals, and other common outputs to an augment call |
| bbmle_tidiers | Tidy a(n) mle2 object |
| betareg_tidiers | Tidy a(n) betareg object |
| bindesign_tidiers | Tidy a(n) binDesign object |
| binwidth_tidiers | Tidy a(n) binWidth object |
| bootstrap | Set up bootstrap replicates of a dplyr operation |
| boot_tidiers | Tidy a(n) boot object |
| brms_tidiers | Tidying methods for a brms model |
| broom | Convert Statistical Objects into Tidy Tibbles |
| btergm_tidiers | Tidy a(n) btergm object |
| caret_tidiers | Tidy a(n) confusionMatrix object |
| cch_tidiers | Tidy a(n) cch object |
| cfa_tidiers | Tidy a(n) lavaan object |
| coeftest_tidiers | Tidy a(n) coeftest object |
| column_glossary | Allowed column names in tidied tibbles |
| confint_tidy | Calculate confidence interval as a tidy data frame |
| confusionMatrix_tidiers | Tidy a(n) confusionMatrix object |
| coxph_tidiers | Tidy a(n) coxph object |
| data.frame_tidiers | Tidiers for data.frame objects |
| decompose_tidiers | Augment data with information from a(n) decomposed.ts object |
| durbinWatsonTest_tidiers | Tidy/glance a(n) durbinWatsonTest object |
| emmeans_tidiers | Tidy estimated marginal means (least-squares means) objects from the emmeans and lsmeans packages |
| ergm_tidiers | Tidy a(n) ergm object |
| factanal_tidiers | Tidy a(n) factanal object |
| felm_tidiers | Tidy a(n) felm object |
| finish_glance | Add logLik, AIC, BIC, and other common measurements to a glance of a prediction |
| fitdistr_tidiers | Tidy a(n) fitdistr object |
| fix_data_frame | Ensure an object is a data frame, with rownames moved into a column |
| Gam_tidiers | Tidy a(n) Gam object |
| gam_tidiers | Tidy a(n) gam object |
| garch_tidiers | Tidy a(n) garch object |
| geeglm_tidiers | Tidy a(n) geeglm object |
| geepack_tidiers | Tidy a(n) geeglm object |
| glance.aareg | Glance at a(n) aareg object |
| glance.Arima | Glance at a(n) Arima 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.clm | Tidying methods for ordinal logistic regression models |
| glance.clmm | Tidying methods for ordinal logistic regression models |
| glance.coxph | Glance at a(n) coxph object |
| glance.cv.glmnet | Glance at a(n) cv.glmnet object |
| glance.data.frame | Tidiers for data.frame objects |
| glance.durbinWatsonTest | Tidy/glance a(n) durbinWatsonTest 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.Gam | Glance at a(n) Gam object |
| glance.gam | Glance at a(n) gam object |
| glance.garch | Tidy a(n) garch object |
| glance.glm | Glance at a(n) glm object |
| glance.glmnet | Glance at a(n) glmnet object |
| glance.glmRob | Glance at a(n) glmRob object |
| glance.gmm | Glance at a(n) gmm object |
| glance.htest | Tidy/glance a(n) htest 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.list | Tidying methods for lists / returned values that are not S3 objects |
| glance.lm | Glance at a(n) lm object |
| glance.lme | Tidying methods for mixed effects models |
| glance.lmodel2 | Glance at a(n) lmodel2 object |
| glance.lmRob | Glance at a(n) lmRob object |
| glance.matrix | Tidiers for matrix objects |
| glance.Mclust | Glance at a(n) Mclust object |
| glance.merMod | Tidying methods for mixed effects models |
| 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.NULL | Tidiers for NULL inputs |
| glance.optim | Tidy a(n) optim object masquerading as list |
| 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.polr | Tidying methods for ordinal logistic regression models |
| 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.rowwise_df | Tidying methods for rowwise_dfs from dplyr, for tidying each row and recombining the results |
| 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.stanreg | Tidying methods for an rstanarm model |
| glance.summary.lm | Glance at a(n) lm object |
| glance.summaryDefault | Tidy/glance a(n) summaryDefault 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.svyolr | Tidying methods for ordinal logistic regression models |
| glance.tbl_df | Tidying methods for rowwise_dfs from dplyr, for tidying each row and recombining the results |
| glance_.rowwise_df | Tidying methods for rowwise_dfs from dplyr, for tidying each row and recombining the results |
| glance_optim | Tidy a(n) optim object masquerading as list |
| glmnet_tidiers | Tidy a(n) glmnet object |
| gmm_tidiers | Tidy a(n) gmm object |
| Hmisc_tidiers | Tidy a(n) rcorr object |
| htest_tidiers | Tidy/glance a(n) htest object |
| insert_NAs | insert a row of NAs into a data frame wherever another data frame has NAs |
| irlba_tidiers | Tidy a(n) irlba object masquerading as list |
| ivreg_tidiers | Tidy a(n) ivreg object |
| joinerml_tidiers | Tidy a(n) mjoint object |
| kappa_tidiers | Tidy a(n) kappa object |
| kde_tidiers | Tidy a(n) kde object |
| Kendall_tidiers | Tidy a(n) Kendall object |
| kendall_tidiers | Tidy a(n) Kendall object |
| kmeans_tidiers | Tidy a(n) kmeans object |
| ks_tidiers | Tidy a(n) kde object |
| lavaan_tidiers | Tidy a(n) lavaan object |
| lfe_tidiers | Tidy a(n) felm object |
| list_tidiers | Tidying methods for lists / returned values that are not S3 objects |
| lme4_tidiers | Tidying methods for mixed effects models |
| lmodel2_tidiers | Tidy a(n) lmodel2 object |
| lmtest_tidiers | Tidy a(n) coeftest object |
| lm_tidiers | Tidy a(n) lm object |
| loess_tidiers | Tidy a(n) loess object |
| maps_tidiers | Tidy a(n) map object |
| matrix_tidiers | Tidiers for matrix objects |
| mclust_tidiers | Tidy a(n) Mclust object |
| mcmc_tidiers | Tidying methods for MCMC (Stan, JAGS, etc.) fits |
| mgcv_tidiers | Tidy a(n) gam object |
| mjoint_tidiers | Tidy a(n) mjoint object |
| mle2_tidiers | Tidy a(n) mle2 object |
| muhaz_tidiers | Tidy a(n) muhaz object |
| multcomp_tidiers | Tidy a(n) glht object |
| multinom_tidiers | Tidying methods for multinomial logistic regression models |
| nlme_tidiers | Tidying methods for mixed effects models |
| nlrq_tidiers | Tidy a(n) nlrq object |
| nls_tidiers | Tidy a(n) nls object |
| nnet_tidiers | Tidying methods for multinomial logistic regression models |
| null_tidiers | Tidiers for NULL inputs |
| optim_tidiers | Tidy a(n) optim object masquerading as list |
| orcutt_tidiers | Tidy a(n) orcutt object |
| ordinal_tidiers | Tidying methods for ordinal logistic regression models |
| plm_tidiers | Tidy a(n) plm object |
| poLCA_tidiers | Tidy a(n) poLCA object |
| prcomp_tidiers | Tidy a(n) prcomp object |
| psych_tidiers | Tidy a(n) kappa object |
| pyears_tidiers | Tidy a(n) pyears object |
| quantreg_tidiers | Tidy a(n) rq object |
| rcorr_tidiers | Tidy a(n) rcorr object |
| ridgelm_tidiers | Tidy a(n) ridgelm object |
| rlm_tidiers | Glance at a(n) rlm object |
| robust_tidiers | Tidy a(n) lmRob object |
| roc_tidiers | Tidy a(n) roc object |
| rowwise_df_tidiers | Tidying methods for rowwise_dfs from dplyr, for tidying each row and recombining the results |
| rqs_tidiers | Tidy a(n) rqs object |
| rq_tidiers | Tidy a(n) rq object |
| rstanarm_tidiers | Tidying methods for an rstanarm model |
| sem_tidiers | Tidy a(n) lavaan object |
| sexpfit_tidiers | Tidy a(n) survexp object |
| smooth.spline_tidiers | Tidy a(n) smooth.spline object |
| sparse_tidiers | Tidy a sparseMatrix object from the Matrix package |
| speedglm_tidiers | Tidy a(n) speedlm object |
| speedlm_tidiers | Tidy a(n) speedlm object |
| sp_tidiers | Tidy a(n) SpatialPolygonsDataFrame object |
| summary_tidiers | Tidy/glance a(n) summaryDefault object |
| survdiff_tidiers | Tidy a(n) survdiff object |
| survexp_tidiers | Tidy a(n) survexp object |
| survfit_tidiers | Tidy a(n) survfit object |
| survreg_tidiers | Tidy a(n) survreg object |
| svd_tidiers | Tidy a(n) svd object masquerading as list |
| 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.Arima | Tidy a(n) Arima 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.brmsfit | Tidying methods for a brms model |
| tidy.btergm | Tidy a(n) btergm object |
| tidy.cch | Tidy a(n) cch object |
| tidy.character | Tidy atomic vectors |
| tidy.cld | Tidy a(n) cld object |
| tidy.clm | Tidying methods for ordinal logistic regression models |
| tidy.clmm | Tidying methods for ordinal logistic regression models |
| 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.data.frame | Tidiers for data.frame objects |
| tidy.density | Tidy a(n) density object |
| tidy.dgCMatrix | Tidy a sparseMatrix object from the Matrix package |
| tidy.dgTMatrix | Tidy a sparseMatrix object from the Matrix package |
| tidy.dist | Tidy a(n) dist object |
| tidy.durbinWatsonTest | Tidy/glance a(n) durbinWatsonTest object |
| tidy.emmGrid | Tidy estimated marginal means (least-squares means) objects from the emmeans and lsmeans packages |
| 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.Gam | Tidy a(n) Gam object |
| tidy.gam | Tidy a(n) gam object |
| tidy.gamlss | Tidy a(n) gamlss object |
| tidy.garch | Tidy a(n) garch object |
| tidy.geeglm | Tidy a(n) geeglm object |
| tidy.glht | Tidy a(n) glht object |
| tidy.glm | Tidy a(n) glm object |
| tidy.glmnet | Tidy a(n) glmnet object |
| tidy.glmRob | Tidy a(n) glmRob object |
| tidy.gmm | Tidy a(n) gmm object |
| tidy.htest | Tidy/glance a(n) htest object |
| tidy.irlba | Tidy a(n) irlba object masquerading as list |
| tidy.ivreg | Tidy a(n) ivreg object |
| tidy.kappa | Tidy a(n) kappa object |
| tidy.kde | Tidy a(n) kde object |
| tidy.Kendall | Tidy a(n) Kendall object |
| tidy.kmeans | Tidy a(n) kmeans object |
| tidy.lavaan | Tidy a(n) lavaan object |
| tidy.Line | Tidy a(n) SpatialPolygonsDataFrame object |
| tidy.Lines | Tidy a(n) SpatialPolygonsDataFrame object |
| tidy.list | Tidying methods for lists / returned values that are not S3 objects |
| tidy.lm | Tidy a(n) lm object |
| tidy.lme | Tidying methods for mixed effects models |
| tidy.lmodel2 | Tidy a(n) lmodel2 object |
| tidy.lmRob | Tidy a(n) lmRob object |
| tidy.logical | Tidy atomic vectors |
| tidy.lsmobj | Tidy estimated marginal means (least-squares means) objects from the emmeans and lsmeans packages |
| tidy.manova | Tidy a(n) manova object |
| tidy.map | Tidy a(n) map object |
| tidy.matrix | Tidiers for matrix objects |
| tidy.Mclust | Tidy a(n) Mclust object |
| tidy.merMod | Tidying methods for mixed effects models |
| 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.NULL | Tidiers for NULL inputs |
| tidy.numeric | Tidy atomic vectors |
| tidy.optim | Tidy a(n) optim object masquerading as list |
| 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.polr | Tidying methods for ordinal logistic regression models |
| tidy.Polygon | Tidy a(n) SpatialPolygonsDataFrame object |
| tidy.Polygons | Tidy a(n) SpatialPolygonsDataFrame 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.ref.grid | Tidy estimated marginal means (least-squares means) objects from the emmeans and lsmeans packages |
| tidy.ridgelm | Tidy a(n) ridgelm object |
| tidy.rjags | Tidying methods for MCMC (Stan, JAGS, etc.) fits |
| tidy.rlm | Tidy a(n) rlm object |
| tidy.roc | Tidy a(n) roc object |
| tidy.rowwise_df | Tidying methods for rowwise_dfs from dplyr, for tidying each row and recombining the results |
| tidy.rq | Tidy a(n) rq object |
| tidy.rqs | Tidy a(n) rqs object |
| tidy.sparseMatrix | Tidy a sparseMatrix object from the Matrix package |
| tidy.SpatialLinesDataFrame | Tidy a(n) SpatialPolygonsDataFrame object |
| tidy.SpatialPolygons | Tidy a(n) SpatialPolygonsDataFrame object |
| tidy.SpatialPolygonsDataFrame | Tidy a(n) SpatialPolygonsDataFrame object |
| tidy.spec | Tidy a(n) spec object |
| tidy.speedlm | Tidy a(n) speedlm object |
| tidy.stanfit | Tidying methods for MCMC (Stan, JAGS, etc.) fits |
| tidy.stanreg | Tidying methods for an rstanarm model |
| tidy.summary.glht | Tidy a(n) summary.glht object |
| tidy.summary.lm | Tidy a(n) lm object |
| tidy.summaryDefault | Tidy/glance a(n) summaryDefault 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.svyolr | Tidying methods for ordinal logistic regression models |
| tidy.table | Tidy a(n) table object |
| tidy.tbl_df | Tidying methods for rowwise_dfs from dplyr, for tidying each row and recombining the results |
| tidy.ts | Tidy a(n) ts object |
| tidy.TukeyHSD | Tidy a(n) TukeyHSD object |
| tidy.zoo | Tidy a(n) zoo object |
| tidyMCMC | Tidying methods for MCMC (Stan, JAGS, etc.) fits |
| tidy_.rowwise_df | Tidying methods for rowwise_dfs from dplyr, for tidying each row and recombining the results |
| 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 |
| xyz_tidiers | Tidy a(n) xyz object masquerading as list |
| zoo_tidiers | Tidy a(n) zoo object |