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
Dear Richie:
1) I have a mistake in the code that “A.split[[1]][["time"]][i]” should
replace with “A.split[[j]][["time"]][i]”. The “test” value is “auc” which
is a cumulative rate of change of concentration with respect to time.
for (j in 1:length(A.split)){
test <- 0
for(i in 2:length(A.spli
> 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 i
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
“test
4 matches
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