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doBy (version 4.5-10)

doBy - Groupwise summary statistics, LSmeans, general linear contrasts, various utilities

Description

doBy originally contained facilities to 'do something' to data where data is partitioned 'by' some variables which define groupings of data - hence the name doBy. doBy contains a variety of utilities including: 1) Facilities for groupwise computations of summary statistics and other facilities for working with grouped data. 2) LSmeans (least-squares means), general linear contrasts. 3) Miscellaneous other utilities.

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Version

Install

install.packages('doBy')

Monthly Downloads

360,908

Version

4.5-10

License

GPL (>= 2)

Maintainer

Søren Højsgaard

Last Published

November 28th, 2013

Functions in doBy (4.5-10)

Lean meat contents of 344 pig carcasses

Ordering (sorting) rows of a data frame

Contrasts for lm, glm, lme, and geeglm objects

Rename columns in a matrix or a dataframe.

Locate the index of the first/last unique value

Compute linear estimates

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

Milk yield data for manually milked cows.

parseGroupFormula

Extract components from a formula with "conditioning bar"

Effect of Insecticide on survivial of tobacco budworms

Growth curves of pigs in a 3x3 factorial experiment

List of lm objects with a common model

Groupwise scaling and centering of numeric columns in a dataframe

A template function for creating groupwise functions

Recode values of a vector

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

Internal functions for the doBy package

Function to calculate groupwise summary statistics

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

Function to make groupwise transformations

Compute linear estimates

Formula based version of lapply

Split a data frame

Find sub-sequences of identical elements in a vector.

Sampling from a data frame

Computing simple descriptive statistics of a numeric vector.

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

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

Calculate "time since event" in a vector.