Hi,
I've read in a csv file (test.csv) which gives me the following table:
Hin1 Hin2 Hin3 Hin4 Hin5 Hin6
HAI1 9534.83 4001.74 157.16 3736.93 484.60 59.25
HAI2 13272.48 1519.88 36.35 33.64 46.68 82.11
HAI3 12587.71 5686.94 656.62 572.29 351.60 136.91
HAI4 15240.81 10031.57 426.73 275.29 561.30 302.38
HAI5 15878.32 10517.14 18.93 22.00 16.91 21.17
I would like to find a way of finding the 1-pnorm of each value in the table
based on the mean and sd of the data only in the column in which the value
lies. I can do it using a for loop, but would like to know if it can be done
using e.g. apply or something similar, so that the whole table is printed out
with the 1-pnorm values.
1-pnorm(test[,1],mean([,1]), sd([,1])) gives me the values for col1 only, but
that's as far as I've got.
tia
p.s. I know I'm asking a lot, but ideally, I'd like to print out the table
with those 1-pnorm values only if they are in the right hand tail (i.e. >=
mean) and if not nothing or NA be written.
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