[R] Adding a numeric class to a data.frame

[Jeff Reichman]

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.gross using gmail.com <avi.e.gross using gmail.com> 
Sent: Sunday, June 4, 2023 9:00 PM
To: 'Jeff Reichman' <reichmanj using sbcglobal.net>; r-help using 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-bounces using r-project.org> On Behalf Of Jeff Reichman
Sent: Sunday, June 4, 2023 7:11 PM
To: r-help using 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


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