Package index • doBy

All functions
`NIRmilk`	NIRmilk
`add_int()`	Add interaction columns to data frame
`add_pred()`	Add predicted values of different types to dataframe
`add_resid()`	Add residuals of different types to dataframe
`align_coefs()`	Align and combine fixed-effect coefficients from multiple models
`beets`	beets data
`binomial_to_bernoulli_data()`	Convert binomial data to bernoulli data
`bquote_fun_list()`	Backquote a list of functions
`lapply_by()` `lapplyBy()` `sapply_by()` `sapplyBy()`	Formula based version of lapply and sapply
`lm_by()` `lmBy()`	List of lm objects with a common model
`order_by()` `orderBy()`	Ordering (sorting) rows of a data frame
`sample_by()` `sampleBy()`	Sampling from a data frame
`split_by()` `splitBy()` `head(<splitByData>)` `tail(<splitByData>)` `split_by.legacy()` `splitBy.legacy()`	Split a data frame into groups defined by variable(s)
`subset_by()` `subsetBy()`	Finds subsets of a dataframe which is split by variables in a formula.
`summary_by()` `summaryBy()`	Groupwise summary statistics
`transform_by()` `transformBy()`	Function to make groupwise transformations
`scaleBy()` `scale_by()`	Group-wise scaling of data
`carcass`	Lean meat contents of 344 pig carcasses
`child_growth`	Berkeley Growth Study data
`codstom`	Diet of Atlantic cod in the Gulf of St. Lawrence (Canada)
`crickets`	crickets data
`crimeRate`	crimeRate
`crime_rate`	crimeRate
`cropyield`	Yield from Danish agricultural production of grain and root crop.
`cv_glm_fitlist()`	Cross-validation for list of glm objects
`prostate`	Prostate Tumor Gene Expression Dataset
`wine`	Chemical composition of wine
`breastcancer`	Gene expression signatures for p53 mutation status in 250 breast cancer samples
`budworm`	Budworm data
`cad1`	Coronary artery disease data
`mathmark`	Mathematics marks for students
`personality`	Personality traits
`descStat()`	Computing simple descriptive statistics of a numeric vector.
`dietox`	Growth curves of pigs in a 3x3 factorial experiment
`.rhsf2list()`	Convert right hand sided formula to a list
`esticon()` `coef(<esticon_class>)` `summary(<esticon_class>)` `confint(<esticon_class>)` `vcov(<esticon_class>)`	Contrasts for lm, glm, lme, and geeglm objects
`expr_to_fun()`	Convert expression into function object.
`fatacid`	Fish oil in pig food
`fev`	Forced expiratory volume in children
`lastobs()` `firstobs()`	Locate the index of the first/last unique value
`formula_add_str()` `formula_add()` `formula_poly()` `formula_nth()` `formula_to_interaction_matrix()` `formula_chr_to_form()` `to_str()` `terms_labels()` `simplify_rhs()` `as_rhs_frm()` `as_lhs_frm()` `as_rhs_chr()` `as_lhs_chr()` `unique_formula()`	Formula operations and coercion.
`generate_data_list()`	Generate data list
`get_formulas()`	Get formulas from model_stability_glm_class object
`haldCement`	Heat development in cement under hardening.
`head2()` `tail2()`	head and tail for matrices
`income`	income data
`interaction_plot()`	Two-way interaction plot
`is_estimable()`	Determines if contrasts are estimable.
`get_xlevels()` `get_contrasts()` `set_xlevels()` `get_vartypes()` `set_covariate_val()` `get_X()`	Auxillary functions for computing lsmeans, contrasts etc
`LE_matrix()` `aggregate_linest_list()` `get_linest_list()`	Linear estimates matrix
`linest()` `confint(<linest_class>)` `coef(<linest_class>)` `summary(<linest_class>)`	Compute linear estimates
`LSmeans()` `popMeans()`	Compute LS-means (aka population means or marginal means)
`math_teachers`	Height of math teachers
`mb_summary()` `summary_mb()`	Fast summary of microbenchmark object
`milkman`	Milk yield data for manually milked cows.
`model_stability_glm()`	Model stability for glm objects
`nir_milk`	nir_milk
`parseGroupFormula()`	Extract components from a formula with "conditioning bar"
`pick1()` `pick2()`	Extract (pick) elements without using brackets
`reciprocal()` `pow()` `add()` `subtract()` `mult()` `divide()`	Pipe-friendly arithmetic helpers
`plot_lm()`	Plot linear model object
`potatoes`	Weight and size of 20 potatoes
`rbind_list()`	Bind list of data frames and add list names as a column
`recodeVar()` `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.
`response()`	Get response variable from model
`response_plot()`	Plot the response variable against the predictor variables.
`scale_df()`	Scale numeric variables in a data frame
`set_default()` `section_fun()` `section_fun_sub()` `section_fun_env()` `get_section()` `get_fun()`	Section a function and set default values in function
`set_list2matrix()` `matrix2set_list()`	Matrix representatation of list of vectors and vice versa
`shoes`	shoes
`split_bycol()` `split_byrow()`	Split matrix or dataframe into list
`sub_seq()` `subSeq()`	Find sub-sequences of identical elements in a vector.
`taylor()`	Taylor expansion (one dimension)
`tidy(<esticon_class>)`	Tidy an esticon object
`tidy(<linest_class>)`	Tidy a linest object
`time_since_event()` `timeSinceEvent()`	Calculate "time since event" in a vector
`truncate0()`	Truncate values in a matrix / vector to zero if they are below a certain threshold.
`v()`	Shorthand for vparse()
`vcheck()`	Check if variables exist in a data frame
`vmap()`	Apply a function to each parsed variable name
`vparse()`	Variable utilities: parse, select, check, map, rename
`vrename()`	Rename columns in a data frame
`vselect()`	Select columns from a data frame using flexible input
`which.maxn()`	Where are the n largest or n smallest elements in a numeric vector ?

Reference

All functions