Hello everybody,
Could I consult you a question?
I am doing an analysis about some data. I used Anova analysis. Its
PValue returned is about 0.275, no signal. But through the box-chart, I think
it exist discrepancy between A and B. And then I tried to use the ks.test,
fisher.test and var.test to do analysis. Their PValue returned are all
imperfect. If we think the PValue below 0.05 means it exist significant. The
all test result are all bigger than 0.1. I don't know why the anova and other
tests can not find out the issue? And could you help me to find out which
analysis method fit for this case? Thank you very much!
##################R script
#### -creat a data frame
Value <- c(0.01592016, 0.05034839, 0.01810571, 0.05129173, 0.01557562,
0.04321186,
0.01851016, 0.05214449, 0.01912795, 0.02081264, 0.05580136,
0.03097065,
0.01706546, 0.01534989, 0.01367946, 0.01734044, 0.02419865,
0.04541759,
0.08735891, 0.03297321, 0.02311511, 0.05972912, 0.04356657,
0.02234764,
0.01291197, 0.02203159, 0.17550784, 0.08726857, 0.01557562,
0.04486457,
0.01498870)
Group <- c("A", "A", "B", "B", "B", "A", "B", "A", "A", "A", "A", "A",
"A", "A", "A", "A", "A", "A", "A",
"A", "A", "A", "A", "A", "A", "A", "A", "A", "B", "B", "B")
df.new <- data.frame(Value=Value,Group=Group)
#### -plot the boxchart
plot(as.factor(df.new$Group),df.new$Value)
points(as.factor(df.new$Group), df.new$Value, pch=16,col=2)
#### -anova test
anova(lm(df.new$Value~as.factor(df.new$Group)))
###############end
Thank you very much for your kindly help!
BR
Ivy
______________________________________________
[email protected] mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
