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Last data update: 2014.03.03

R: Summary table for a linear model

summarylm

R Documentation

Summary table for a linear model

Description

Computes the coefficients, std. errors, t values, and p-values for a linear model in the presence of possible heteroskedasticity.

Usage

summarylm(object,correlation=FALSE,symbolic.cor = FALSE,white.adjust=FALSE,...)

Arguments

`object`	an object of class lm.
`correlation`	a logical value indicating whether parameter correlations should be printed.
`symbolic.cor`	logical. If TRUE, print the correlations in a symbolic form (see symnum) rather than as numbers. Effective only if white.adjust is FALSE.
`white.adjust`	value passed to `hccm` indicating the type of robust adjustment to be used. If TRUE, type is assumed to be 'hc3'
`...`	additional parameters passed to stats::summary.lm

Details

If white.adjust is false, the function returns a value identical to stats::summary.lm. Otherwise, robust summaries are computed

Value

A summary table

Examples

ctl <- c(4.17,5.58,5.18,6.11,4.50,4.61,5.17,4.53,5.33,5.14)
trt <- c(4.81,4.17,4.41,3.59,5.87,3.83,6.03,4.89,4.32,4.69)
group <- gl(2,10,20, labels=c("Ctl","Trt"))
weight <- c((ctl-mean(ctl))*10+mean(ctl), trt)
lm.D9 <- lm(weight ~ group)
summarylm(lm.D9,white.adjust=TRUE)

Results


R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(Deducer)
Loading required package: ggplot2
Loading required package: JGR
Loading required package: rJava
Loading required package: JavaGD
Loading required package: iplots

Please type JGR() to launch console. Platform specific launchers (.exe and .app) can also be obtained at http://www.rforge.net/JGR/files/.


Loading required package: car
Loading required package: MASS


Note Non-JGR console detected:
	Deducer is best used from within JGR (http://jgr.markushelbig.org/).
	To Bring up GUI dialogs, type deducer().

> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/Deducer/summarylm.Rd_%03d_medium.png", width=480, height=480)
> ### Name: summarylm
> ### Title: Summary table for a linear model
> ### Aliases: summarylm
> 
> ### ** Examples
> 
> ctl <- c(4.17,5.58,5.18,6.11,4.50,4.61,5.17,4.53,5.33,5.14)
> trt <- c(4.81,4.17,4.41,3.59,5.87,3.83,6.03,4.89,4.32,4.69)
> group <- gl(2,10,20, labels=c("Ctl","Trt"))
> weight <- c((ctl-mean(ctl))*10+mean(ctl), trt)
> lm.D9 <- lm(weight ~ group)
> summarylm(lm.D9,white.adjust=TRUE)
$`Summary Table`
            Estimate Std..Error    t.value    p.value
(Intercept)    5.032   1.943638  2.5889596 0.01852413
groupTrt      -0.371   1.961561 -0.1891351 0.85210317

> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>