Hi Smruti,
In the example in question, you are probably doing something like this:
# I didn't see any attachment for the data
X<-rnorm(99,mean=59.96753)
t.test(X,mu=50,alternative="less")
One Sample t-test
data: X
t = 101.29, df = 98, p-value = 1
alternative hypothesis: true mean is less
Hi Frank and Dennis
I am in a similar situation but I would prefer to use a proportional odds
model. 2 questions.
1. Has rank ancova been implemented in R now, despite its short comings?
2. Where has it been shown to yield unreliable analyses? I would like this
evidence (which I believe
Dear Greg Snow / Rolf Turner:
I must thank you very much for your very prompt and a detailed response to my
query on t.test command.
I am attaching herewith, a file in csv format, containing the column vector
with on which I am performing the one-sample t-test using t.test. I understand
that 1
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