Yes - I could have done that but I have over 5,000 calculated probabilities.
So yes a little more detail would have helped. I'm needing to add those
probability back into the original data.frame from which the model was
created as I'm going to be using ggplot2 so I need the probabilities and
original dataframe to be one.
-----Original Message-----
From: avi.e.gr...@gmail.com <avi.e.gr...@gmail.com>
Sent: Sunday, June 4, 2023 9:00 PM
To: 'Jeff Reichman' <reichm...@sbcglobal.net>; r-help@r-project.org
Subject: RE: [R] Adding a numeric class to a data.frame
Jeff R, it would be helpful if your intent was understood.
For example, did you want output as a column of labels c("A", "B", "C") and
another adjacent of c(0.0011566127, 0.0009267028, 0.0081623324) then you
could do:
data.frame(labels=c("A", "B", "C"), data=c(0.0011566127, 0.0009267028,
0.0081623324))
labels data
1 A 0.0011566127
2 B 0.0009267028
3 C 0.0081623324
If you wanted your columns labeled with the data in multiple columns, try
this:
> result <- data.frame(t(c(0.0011566127, 0.0009267028, 0.0081623324)))
> result
X1 X2 X3
1 0.001156613 0.0009267028 0.008162332
> names(result) <- c("A", "B", "C")
> result
A B C
1 0.001156613 0.0009267028 0.008162332
But these are not solutions to your specified problem unless you explain
properly what you want to do and the exact expected output.
-----Original Message-----
From: R-help <r-help-boun...@r-project.org> On Behalf Of Jeff Reichman
Sent: Sunday, June 4, 2023 7:11 PM
To: r-help@r-project.org
Subject: [R] Adding a numeric class to a data.frame
R-Help Community
How do I add a numeric class to a data .frame.
For example, I have calculated the following probabilities
1 2 3
0.0011566127 0.0009267028 0.0081623324
How would I add them back into my data.frame for example
My_df <- data.frame(col_1 = c('A', 'B', 'C')) such that I end up with
col_1 col_2
A 0.0011566127
Though I could use a cbind.
Jeff
[[alternative HTML version deleted]]
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______________________________________________
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
