Description Usage Arguments Value References Examples
Fitting of ANOVA Model
Analysis of Variance (test & table)
Test and confidence interval for Single Factor level Mean
inferences for Difference between Two Factor level Means
Contrast of Factor level Means
test and confidence interval for linear Combination of Factor level Means
Analysis of Means (CI for treatment effects)
*** Tests for Constancy of Error Variance: ***
Hartley Test
Brown-Forsythe Test
*** Simultaneos Inference Procedures: ***
Tukey multiple comparison procedure
Scheffe multiple comparison procedure
Bonferroni multiple comparison procedure
*** Nonparametric ***
Nonparametric Rank F Test and multiple Pairwise Testing Procedure
***A variety of residuals in the output: ***
residuals
semistudentized residuals
studentized residuals
studentized deleted residuals
*** PLOT ***
boxplot by factors
Line Plot of Estimated Factor Level Mean
Bar Graph and Main Effects Plot
bar graph and the main etfects plot of factor level means is to display the confidence limits
*** PLOT for residuals: ***
against fitted value
Aligned Residual Dot Plot
Normal Q-Q plot
histogram
boxplot
1 |
y |
vector, response variable |
group |
vector INTEGER, group variable |
alpha |
Confidence interval calculate with 1-alpha percent |
MSE |
mean squre of error |
c.value |
c value for single factor test. H_0: mu_i=c |
mc |
Matrix contrast(s), Each row was included in a contrast |
residual |
Type of residuals. simple (default), semistudentized, studentized or studentized.deleted |
omission.variable |
numeric vector. Omission of Important Explanatory Variables. Residual analysis may also be used to study whether or not the single-factor ANOVA model is an adequate model. |
test & CI
Michael H. Kutner; Christopher J. Nachtsheim; John Neter; William Li. Applied Linear Statistical Models Fifth Edition. chapter 16, 17 and 18
1 2 3 4 |
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