R Linguistic statistical analysis-variance analysis

R Linguistic statistical analysis-variance analysis

A simple example of variance analysis

Test the effect of insecticide in 6, the target value is the number of insects, the other side of the analysis.

1. Import data

Data (Insectsprays)

2. Square root conversion, analysis

Aov.spray <-AoV (sqrt (count) ~ Spray, data = insectsprays)

AoV () left is the corresponding variable on the left and the right predictor variable.

Equivalent to

> Aov.spray <-aov (sqrt (insectsprays$count) ~ insectsprays$spray)

Know the number

> Aov.spray <-aov (sqrt (insectsprays[, 1]) ~ insectsprays[, 2])

3. View Details

> Aov.spray
Call:
AoV (formula = sqrt (count) ~ Spray, data = insectsprays)

Terms:
Spray residuals
Sum of Squares 88.43787 26.05798
Deg. of Freedom 5 66

Residual standard error:0.6283453
Estimated effects may be unbalanced

>summary (Aov.spray)
Df Sum Sq Mean sq F value Pr (>f)
Spray 5 88.44 17.688 44.8 <2e-16 * * *
Residuals 66 26.06 0.395
---
Signif. codes:0 ' * * * ' 0.001 ' * * ' 0.01 ' * ' 0.05 '. ' 0.1 "1

4. Show Analysis Results

Opar <-par ()
Par (Mfcol = C (2, 2))
Plot (Aov.spray)
Par (OPAR)

Opar <-par ()
Par (Mfcol = C (2, 2))
Plot (Aov.spray)
Par (OPAR)
Termplot (Aov.spray, Se=true, Partial.resid=true, Rug=true)

The meaning of statistical function operators

Three, simple generics

Generic functions

Four, the package

Base Package

Recommended Packages

Install package

Download the required package and let the system console enter the R CMD INSTALL gee_4.13-6.tar.gz;

Management Pack

> update.packages () update package

installed. packages, cran.packages,download.packages;

R Linguistic statistical analysis-variance analysis