I have a dataframe with many rows like this:
> df
X1 X2 X3 X4 X5 X6 X7 week d
sim1 FALSE TRUE TRUE TRUE TRUE TRUE TRUE 1 0.3064985
sim1 is the rowname, X1..X7,week,d are the column names. X1..X7 are factors,
booleans in this case.
I need to add another row, represented by the following list:
list(rep(T,7),5,0.0)
-- i.e, TRUE in all boolean columns, 5 in the week column, 0.0 in d. The name
of the new row is "dreps".
I used to add fully numeric rows as follows:
df1 <- rbind(df,dreps=c(<all numbers>))
But if I do this here,
df1 <- rbind(df,dreps=c(rep(T,7),5,0.0)) -- booleans are converted to 0/1,
which is not what I want.
What's the recommended way to specify and bind a heterogeneous row above?
Cheers,
Alexy
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