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1. Rcode 2.8 Review
2. Rcode 2.8 X
3. Recode 2019

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Multiple comparisons, 'Least significant difference' and Adjust P-values

Multiple comparisons of treatments by means of LSD and a grouping of treatments. The level by alpha default is 0.05. Returns p-values adjusted using one of several methods

Arguments

model(aov or lm) or answer of the experimental unit

Constant( only y=model) or vector treatment applied to each experimental unit

Degrees of freedom of the experimental error

Means square error of the experimental

Level of risk for the test

Method for adjusting p values (see p.adjust) Memory cleaner pro 1.3.1 crack.

TRUE or FALSE

title of the study

logical, print output

Details

Wireframesketcher 6.2.1 crack windows 7. For equal or different repetition. For the adjustment methods, see the function p.adjusted. p-adj ='none' is t-student.

It is necessary first makes a analysis of variance. if model=y, then to apply the instruction: LSD.test(model, 'trt', alpha = 0.05, p.adj=c('none','holm','hommel', 'hochberg', 'bonferroni', 'BH', 'BY', 'fdr'), group=TRUE, main = NULL,console=FALSE) where the model class is aov or lm.

Rcode 2.8 Review

Value

Statistics of the model

Design parameters

Statistical summary of the study variable

Comparison between treatments

Formation of treatment groups

References

Steel, R.; Torri,J; Dickey, D.(1997) Principles and Procedures of Statistics A Biometrical Approach. pp178.

See Also

BIB.test, DAU.test, duncan.test, durbin.test, friedman, HSD.test, kruskal, Median.test, PBIB.test, REGW.test, scheffe.test, SNK.test, waerden.test, waller.test, plot.group

Aliases

• LSD.test

Rcode 2.8 X

Recode 2019