Groupwise Statistics, LSmeans, Linear Estimates, Utilities
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Documentation for package ‘doBy’ version 4.6.20
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A B C D E F G H I L M N O P R S T U V W misc
-- A --
| aggregate_linest_list | Linear estimates matrix |
| as_lhs_chr | Formula operations and coercion. |
| as_lhs_frm | Formula operations and coercion. |
| as_rhs_chr | Formula operations and coercion. |
| as_rhs_frm | Formula operations and coercion. |
-- B --
| beets | beets data |
| bquote_fun_list | Backquote a list of functions |
| breastcancer | Gene expression signatures for p53 mutation status in 250 breast cancer samples |
| budworm | Budworm data |
| by-lapply | Formula based version of lapply and sapply |
| by-lmby | List of lm objects with a common model |
| by-order | Ordering (sorting) rows of a data frame |
| by-sample | Sampling from a data frame |
| by-split | Split a data frame |
| by-subset | Finds subsets of a dataframe which is split by variables in a formula. |
| by-summary | Function to calculate groupwise summary statistics |
| by-transform | Function to make groupwise transformations |
| by_scale | Scale a dataframe or matrix |
-- C --
| cad1 | Coronary artery disease data |
| cad2 | Coronary artery disease data |
| carcass | Lean meat contents of 344 pig carcasses |
| carcassall | Lean meat contents of 344 pig carcasses |
| chr_to_matrix | Character vector to matrix |
| codstom | Diet of Atlantic cod in the Gulf of St. Lawrence (Canada) |
| coef.esticon_class | Contrasts for lm, glm, lme, and geeglm objects |
| coef.linest_class | Compute linear estimates |
| coef.lmBy | List of lm objects with a common model |
| coef.summary_lmBy | List of lm objects with a common model |
| confint.esticon_class | Contrasts for lm, glm, lme, and geeglm objects |
| confint.linest_class | Compute linear estimates |
| crimeRate | crimeRate |
| crime_rate | crimeRate |
| cropyield | Yield from Danish agricultural production of grain and root crop. |
-- D --
| data-budworm | Budworm data |
| data-mathmark | Mathematics marks for students |
| data-personality | Personality traits |
| data_cad | Coronary artery disease data |
| descStat | Computing simple descriptive statistics of a numeric vector. |
| dietox | Growth curves of pigs in a 3x3 factorial experiment |
-- E --
| esticon | Contrasts for lm, glm, lme, and geeglm objects |
| expr_to_fun | Convert expression into function object. |
-- F --
| fatacid | Fish oil in pig food |
| fev | Forced expiratory volume in children |
| firstlastobs | Locate the index of the first/last unique value |
| firstobs | Locate the index of the first/last unique value |
| firstobs.default | Locate the index of the first/last unique value |
| firstobs.formula | Locate the index of the first/last unique value |
| fitted.lmBy | List of lm objects with a common model |
| formula_add | Formula operations and coercion. |
| formula_chr_to_form | Formula operations and coercion. |
| formula_nth | Formula operations and coercion. |
| formula_ops | Formula operations and coercion. |
| formula_poly | Formula operations and coercion. |
| formula_to_interaction_matrix | Formula operations and coercion. |
-- G --
| getBy | List of lm objects with a common model |
| get_contrasts | Auxillary functions for computing lsmeans, contrasts etc |
| get_contrasts.default | Auxillary functions for computing lsmeans, contrasts etc |
| get_contrasts.merMod | Auxillary functions for computing lsmeans, contrasts etc |
| get_fun | Section a function and set default values in function |
| get_linest_list | Linear estimates matrix |
| get_section | Section a function and set default values in function |
| get_vartypes | Auxillary functions for computing lsmeans, contrasts etc |
| get_X | Auxillary functions for computing lsmeans, contrasts etc |
| get_X.default | Auxillary functions for computing lsmeans, contrasts etc |
| get_X.merMod | Auxillary functions for computing lsmeans, contrasts etc |
| get_xlevels | Auxillary functions for computing lsmeans, contrasts etc |
| get_xlevels.default | Auxillary functions for computing lsmeans, contrasts etc |
| get_xlevels.mer | Auxillary functions for computing lsmeans, contrasts etc |
| get_xlevels.merMod | Auxillary functions for computing lsmeans, contrasts etc |
-- H --
| haldCement | Heat development in cement under hardening. |
| head.splitByData | Split a data frame |
-- I --
| interaction-plot | Two-way interaction plot |
| interaction_plot | Two-way interaction plot |
| is-estimable | Determines if contrasts are estimable. |
| is_estimable | Determines if contrasts are estimable. |
| is_grouped | Find sub-sequences of identical elements in a vector. |
-- L --
| lapplyBy | Formula based version of lapply and sapply |
| lapply_by | Formula based version of lapply and sapply |
| lastobs | Locate the index of the first/last unique value |
| lastobs.default | Locate the index of the first/last unique value |
| lastobs.formula | Locate the index of the first/last unique value |
| LE_matrix | Linear estimates matrix |
| LE_matrix.default | Linear estimates matrix |
| linest | Compute linear estimates |
| linest-get | Auxillary functions for computing lsmeans, contrasts etc |
| linest-matrix | Linear estimates matrix |
| linest.default | Compute linear estimates |
| linest.geeglm | Compute linear estimates |
| linest.glm | Compute linear estimates |
| linest.lm | Compute linear estimates |
| linest.lmerMod | Compute linear estimates |
| linest.merMod | Compute linear estimates |
| lmBy | List of lm objects with a common model |
| lm_by | List of lm objects with a common model |
| ls-means | Compute LS-means (aka population means or marginal means) |
| LSmeans | Compute LS-means (aka population means or marginal means) |
| LSmeans.default | Compute LS-means (aka population means or marginal means) |
| LSmeans.lmerMod | Compute LS-means (aka population means or marginal means) |
-- M --
| math | Mathematics marks for students |
| mathmark | Mathematics marks for students |
| matrix_op | Matrix operations based on matching dimensions |
| mb_summary | Fast summary of microbenchmark object |
| milkman | Milk yield data for manually milked cows. |
| milkman_rdm1 | Milk yield data for manually milked cows. |
-- N --
| NIRmilk | NIRmilk |
| nir_milk | nir_milk |
| null-basis | Finds the basis of the (right) null space. |
| null_basis | Finds the basis of the (right) null space. |
-- O --
| orderBy | Ordering (sorting) rows of a data frame |
| order_by | Ordering (sorting) rows of a data frame |
-- P --
| parseGroupFormula | Extract components from a formula with "conditioning bar" |
| personality | Personality traits |
| popMeans | Compute LS-means (aka population means or marginal means) |
| popMeans.default | Compute LS-means (aka population means or marginal means) |
| popMeans.lmerMod | Compute LS-means (aka population means or marginal means) |
| potatoes | Weight and size of 20 potatoes |
| prostate | Prostate Tumor Gene Expression Dataset |
-- R --
| recodeVar | Recode values of a vector |
| recode_var | Recode values of a vector |
| recover_pca_data | Recover data from principal component analysis |
| renameCol | Rename columns in a matrix or a dataframe. |
| residuals.lmBy | List of lm objects with a common model |
| rle2 | Find sub-sequences of identical elements in a vector. |
-- S --
| sampleBy | Sampling from a data frame |
| sample_by | Sampling from a data frame |
| sapplyBy | Formula based version of lapply and sapply |
| sapply_by | Formula based version of lapply and sapply |
| scale2 | Scaling numerical values |
| scaleBy | Scale a dataframe or matrix |
| scale_by | Scale a dataframe or matrix |
| scale_df | Scaling numerical values |
| section_fun | Section a function and set default values in function |
| section_fun_env | Section a function and set default values in function |
| section_fun_sub | Section a function and set default values in function |
| set_covariate_val | Auxillary functions for computing lsmeans, contrasts etc |
| set_default | Section a function and set default values in function |
| set_xlevels | Auxillary functions for computing lsmeans, contrasts etc |
| simplify_rhs | Formula operations and coercion. |
| simplify_rhs.character | Formula operations and coercion. |
| simplify_rhs.formula | Formula operations and coercion. |
| splitBy | Split a data frame |
| split_by | Split a data frame |
| split_bycol | Split matrix or dataframe into list |
| split_byrow | Split matrix or dataframe into list |
| split_byrow_bycol | Split matrix or dataframe into list |
| subSeq | Find sub-sequences of identical elements in a vector. |
| subsetBy | Finds subsets of a dataframe which is split by variables in a formula. |
| subset_by | Finds subsets of a dataframe which is split by variables in a formula. |
| sub_seq | Find sub-sequences of identical elements in a vector. |
| summary.esticon_class | Contrasts for lm, glm, lme, and geeglm objects |
| summary.linest_class | Compute linear estimates |
| summary.lmBy | List of lm objects with a common model |
| summaryBy | Function to calculate groupwise summary statistics |
| summary_by | Function to calculate groupwise summary statistics |
| summary_mb | Fast summary of microbenchmark object |
-- T --
| tail.splitByData | Split a data frame |
| taylor | Taylor expansion (one dimension) |
| terms_labels | Formula operations and coercion. |
| tidy-esticon | Tidy an esticon object |
| tidy-linest | Tidy a linest object |
| tidy.esticon_class | Tidy an esticon object |
| tidy.linest_class | Tidy a linest object |
| timeSinceEvent | Calculate "time since event" in a vector. |
| to_str | Formula operations and coercion. |
| transformBy | Function to make groupwise transformations |
| transform_by | Function to make groupwise transformations |
-- U --
| unique_formula | Formula operations and coercion. |
-- V --
| vcov.esticon_class | Contrasts for lm, glm, lme, and geeglm objects |
-- W --
| which.maxn | Where are the n largest or n smallest elements in a numeric vector ? |
| which.minn | Where are the n largest or n smallest elements in a numeric vector ? |
-- misc --
| .rhsf2list | Convert right hand sided formula to a list |