Ok, I think I have this
it works if I use data.frame(cast(df,entityID ~ attributeID))
Ralikwen wrote:
>
> When I do as.matrix I loose those columns that I specified as row headers
> during cast.
> Maybe its because of this:
> "When coercing a vector, it produces a one-column matrix, and p
When I do as.matrix I loose those columns that I specified as row headers
during cast.
Maybe its because of this:
"When coercing a vector, it produces a one-column matrix, and promotes the
names (if any) of the vector to the rownames of the matrix."
but I cant figure out what does this mean or wha
This is what I was looking for.
Using mode instead of as.numeric is a great idea.
Many thanks.
Balázs
jholtman wrote:
>
> Try this as a solution:
>
>> df <- data.frame(a=letters[15:17], b=c("21","NA","23"), c=10:12, d=15:17)
>> # convert to numeric
>> x <- as.matrix(df)
>> mode(x) <- "numeric
Try this as a solution:
> df <- data.frame(a=letters[15:17], b=c("21","NA","23"), c=10:12, d=15:17)
> # convert to numeric
> x <- as.matrix(df)
> mode(x) <- "numeric"
Warning message:
In eval(expr, envir, enclos) : NAs introduced by coercion
> cbind(df, RTot=rowSums(x, na.rm=TRUE))
a b c d RT
Hi,
I am new to R.
I have a dataframe with many columns some of which contain genuine strings
some numerical values as strings. The dataframe is created by cast so I have
no control over the resulting data type.
I want to attach columns as aggregates of other columns to the dataframe.
Here is the
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