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doBy (version 4.5-15)

Groupwise Statistics, LSmeans, Linear Contrasts, Utilities

Description

The facilities can roughly be grouped as: 1) Facilities for groupwise computations of summary statistics and other facilities for working with grouped data: 'do' something to data stratified 'by' some variables. 2) LSmeans (least-squares means), general linear contrasts. 3) Miscellaneous other utilities.

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Version

Install

install.packages('doBy')

Monthly Downloads

356,484

Version

4.5-15

License

GPL (>= 2)

Maintainer

Søren Højsgaard

Last Published

March 31st, 2016

Functions in doBy (4.5-15)

Lean meat contents of 344 pig carcasses

Contrasts for lm, glm, lme, and geeglm objects

Heat development in cement under hardening.

Gene expression signatures for p53 mutation status in 250 breast cancer samples

Split a data frame

Locate the index of the first/last unique value

Formula based version of lapply

Finds the basis of the (right) null space.

Calculate "time since event" in a vector.

Weight and size of 20 potatoes

Finds subsets of a dataframe which is split by variables in a formula.

parseGroupFormula

Extract components from a formula with "conditioning bar"

Compute linear estimates

Determines if contrasts are estimable.

Milk yield data for manually milked cows.

Find sub-sequences of identical elements in a vector.

List of lm objects with a common model

Recode values of a vector

Internal functions for the doBy package

Compute linear estimates, including LS-means (aka population means or marginal means)

Effect of Insecticide on survivial of tobacco budworms

Diet of Atlantic cod in the Gulf of St. Lawrence (Canada)

Yield and sugar percentage in sugar beets from a split plot experiment.

Function to calculate groupwise summary statistics

Computing simple descriptive statistics of a numeric vector.

Where are the n largest or n smallest elements in a numeric vector ?

Ordering (sorting) rows of a data frame

Function to make groupwise transformations

A template function for creating groupwise functions

Various utilitie. Functions for creating groupwise calculations etc.; calculation of least-squares means; miscellaneous utilities

Groupwise scaling and centering of numeric columns in a dataframe

Growth curves of pigs in a 3x3 factorial experiment

Rename columns in a matrix or a dataframe.

Sampling from a data frame