Dear all:
I used lm to perform a regression in R and and intercept is -0.01894 and X
is 0.185758. This is my target.
Y-(c(0,4.95,9.95,0,2.5,20,0,1.1,2.85,0,2.5,5))
X-(c(0.1,10,20,20,25,60,0.6,2.5,6,35,40,45))
lm(Y~X)
anova(wnlm-lm( Y~X))
summary(wnlm-lm( Y~X))
I catch test (Y) values and
1) I have a dataframe. Based on “formulation” and “subject”, a
dataframe is split into 4 dataframes. The
example is as follows. Moreover, I want
to calculate “test” value for these 4 dataframes. My question is
that the “test” values not
correct and I do not know where the problem is.
Dear all:
I am a new R-user and I have 2 questions
about it.
1) I have a dataframe. Based on “formulation” and “subject”, a
dataframe is split into 4 dataframes. The
example is as follows. Moreover, I want
to calculate “test” value for these 4 dataframes. My question is that the
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