Hi all.
My data is a longitudinal data,which measure everyone(id)'s CD4 level at
some specific time point.All persons are grouped into 3 groups(0,1,2,3).

y:sqrt(CD4)
x:time,GROUP(3levels: 0,1,2,3)

data_ori is my original data,which inclues:CD4,group,time,id.

I performed a linear mixed model using lme:
result <- lme(sqrt(CD4) ~ group*time,random = ~time|id,data=data_ori)

>From the summary(result),I can only get the intercept and slope of
GROUP0(which is described as "intercept" and "time").
If I wanna get intercepts and slopes of GROUP1,GROUP2,GROUP3,how can I do?

Simply,I can do this manually by the following steps(GROUP1 for instance):
"intercept" + GROUP1 = intercept_GROUP1;
"time" + time:GROUP1 = slope_GROUP1;

But is there any "shortcut" method to choose?Also,I cann't get the
corresponding SE and p value for each parameter.So the
above "manually"method is not effective to some degree.

Any help from you are welcome.

Many thanks!

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