Hello everybody,
I have a data frame in R which is similar to the follows. Actually my real 'df'
dataframe is much bigger than this one here but I really do not want to confuse
anybody so that is why I try to simplify things as much as possible.
So here's the data frame.
id <-c(1,1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,2,2,3,3,3,3,3,3,3,3,3,3)
a <-c(3,1,3,3,1,3,3,3,3,1,3,2,1,2,1,3,3,2,1,1,1,3,1,3,3,3,2,1,1,3)
b <-c(3,2,1,1,1,1,1,1,1,1,1,2,1,3,2,1,1,1,2,1,3,1,2,2,1,3,3,2,3,2)
c <-c(1,3,2,3,2,1,2,3,3,2,2,3,1,2,3,3,3,1,1,2,3,3,1,2,2,3,2,2,3,2)
d <-c(3,3,3,1,3,2,2,1,2,3,2,2,2,1,3,1,2,2,3,2,3,2,3,2,1,1,1,1,1,2)
e <-c(2,3,1,2,1,2,3,3,1,1,2,1,1,3,3,2,1,1,3,3,2,2,3,3,3,2,3,2,1,3)
df <-data.frame(id,a,b,c,d,e)
df
Basically what I would like to do is to get the occurrences of numbers for each
column (a,b,c,d,e) and for each id group (1,2,3) (for this latter grouping see
my column 'id').
So, for column 'a' and for id number '1' (for the latter see column 'id') the
code would be something like this:
as.numeric(table(df[1:10,2]))
The results are:
[1] 3 7
Just to briefly explain my results: in column 'a' (and regarding only those
records which have number '1' in column 'id') we can say that:
number 1 occured 3 times, and
number 3 occured 7 times.
Again, just to show you another example. For column 'a' and for id number '2'
(for the latter grouping see again column 'id'):
as.numeric(table(df[11:20,2]))
After running the codes the results are: [1] 4 3 3
Let me explain a little again: in column 'a' and regarding only those
observations which have number '2' in column 'id') we can say that
number 1 occured 4 times
number 2 occured 3 times and
number 3 occured 3 times.
Last example: for column 'e' and for id number '3' the code would be:
as.numeric(table(df[21:30,6]))
With the results:
[1] 1 4 5
...meaning that number '1' occured once, number '2' occured four times and
number '3' occured 5 times.
So this is what I would like to do. Calculating the occurrences of numbers for
each custom-defined subsets (and then collecting these values into a data
frame). I know it is NOT a difficult task but the PROBLEM is that I'm gonna
have to change the input 'df' dataframe on a regular basis and hence both the
overall number of rows and columns might CHANGE over time...
What I have done so far is that I have separated the 'df' dataframe by columns,
like this:
for (z in (2:ncol(df))) assign(paste("df",z,sep="."),df[,z])
So df.2 will refer to df$a, df.3 will equal df$b, df.4 will equal df$c etc. But
I'm really stuck now and I don't know how to move forward, you know, getting
the occurrences for each column and each group of ids.
Do you have any ideas?
Best regards,
Laszlo
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