Well yeah it works fine for small data but when i tried the exact same
command with a large data set (abt 167 rows and 4000 columns) it gave me a
different data frame.
either i get the first column as row names and so when i put data[1,1] i
get the the first row second column data (from the origin
Hi,
I'm a new R user and I'm having trouble with the read.csv command. It
somehow treats the first column as a row name field even though it's not a
row name. there are no missing columns/entries and i'm not sure how to
resolve this.
the format of my data is
A, B, C, D,..(3984 columns)
12,
well im using the "arules" package and i'm trying to use the support command.
my data is read form a file using the "read.transactions" command and a line
of data looks something like this. there are aboutt 88000 rows and 16000
different items
> inspect(dset[3])
items
1 {33,
34,
35}
>
Hi,
I'm new to R and trying to some simple analysis. I have a data set with
about 88000 transactions and i want to perform a simple support count
analysis of an itemset which is say not a complete transaction but a subset
of a transaction.
say
{A,B,D} is a transaction and i want to find support
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