# [R] Consult a analysis problem.Thank you!

Ivy_Li Ivy_Li at smics.com
Mon Dec 5 04:35:57 CET 2005

```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

```