Hi all,
I'm just getting started in R. My problem is the following:
I have a data frame (v1) with lots of production data measurements.
Each row contains a single measurement ('ARI_MIT') with a timestamp. I
want to "lump" the data by months with their mean and standard
deviation.
I have already successfully managed to do the lumping by adding
another column to my data frame:
v1$MONTH = strftime(v1$TIMESTAMP, "%y%m")
This makes a nice month-wise boxplot of my data, although I don't have
an idea why:
boxplot(v1$ARI_MIT ~ v1$MONTH)
I don't need this plotted, though, but in the form of a new data frame
with three columns: the month, the mean, and the standard deviation of
all values from that month.
I tried un-stacking v1 into a list of vectors and then looping over
its elements, calculating the mean of each group:
for (i in unstack(v1, v1$ARI_MIT ~ v1$MONTH)) { write(mean(i), "") }
This works, but how do I get the data into a data frame? With the
month labels in a column? They are not avaliable inside the loop body.
I know I need to get a book on R.
Thanks,
robert
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