If DF is your data frame then:
DF$xp.bg <- ave(DF$xp.norm, DF$gene, FUN = min)
will create a new column such that the entry in each row has the
minimum xp.norm of all rows with the same gene. ave does use split
internally but I think it would be worth trying anyways since its only
one short lin
On Jan 28, 2010, at 7:05 AM, Irene Gallego Romero wrote:
Dear R users,
I have a dataframe (main.table) with ~30,000 rows and 6 columns, of
which here are a few rows:
id chr window gene xp.normxp.top
129 1_32 1 32 TAS1R1 1.28882115 FALSE
130 1_32 1 3
Dear R users,
I have a dataframe (main.table) with ~30,000 rows and 6 columns, of
which here are a few rows:
id chr window gene xp.normxp.top
129 1_32 1 32 TAS1R1 1.28882115 FALSE
130 1_32 1 32 ZBTB48 1.28882115 FALSE
131 1_32 1 32
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