Avi I'm not sure why but neither the "cbind" nor "with" functions seemed to work with the numeric object so I ended up converting the object to a numeric vector
prob <- as.numeric(pred_probability) then used the cbind function df <- cbind(train, prob); which seemed to work???? I do appreciate your time and assistance. Jeff -----Original Message----- From: avi.e.gr...@gmail.com <avi.e.gr...@gmail.com> Sent: Monday, June 5, 2023 7:55 PM To: 'Jeff Reichman' <reichm...@sbcglobal.net>; r-help@r-project.org Subject: RE: [R] Adding a numeric class to a data.frame Jeff, I wish I could give you an answer to a very specific question. You have lots of numbers in a vector representing whatever "probabilities" mean something to you. There are currently no names associated with them. And you want to make some kind of graph using ggplot. So, to be quite clear, ggplot tends to like a data.frame or one of several other such tabular constructs when making graphs, or have some data coerced into such a format. BUT I am aghast at the concept of giving it a data.frame with one row and thousands of un-named columns. First, the columns will have semi-numerical names by default and second, they cannot be used by ggplot unless you specify a name. What you normally need is not lots of columns but lots of rows. One column suffices for some purposes and multiple columns are often present for many purposes. But what are you graphing as in probability versus what? Is that item correlated with each result in some way? You eventually need to probably make a data.frame with two or more such columns with names for the columns. You need to tell ggplot something like ggplot(mydata, aes(x=whatever, y=whatever, ...)) + geom_line(or whatever) ... But as you release info this slowly, I think I will now drop out of this conversation. Good luck. -----Original Message----- From: Jeff Reichman <reichm...@sbcglobal.net> Sent: Monday, June 5, 2023 7:29 AM To: avi.e.gr...@gmail.com; r-help@r-project.org Subject: RE: [R] Adding a numeric class to a data.frame Avi But I don't have a column header to call. Do I simply use column position > pred_probability 1 2 3 5 8 0.001156612672 0.000926702837 0.008162332353 0.001544764162 0.000919503109 .......... > str(pred_probability ) Named num [1:6964] 0.001157 0.000927 0.008162 0.001545 0.00092 ... - attr(*, "names")= chr [1:6964] "1" "2" "3" "5" ... > Jeff -----Original Message----- From: avi.e.gr...@gmail.com <avi.e.gr...@gmail.com> Sent: Sunday, June 4, 2023 9:58 PM To: 'Jeff Reichman' <reichm...@sbcglobal.net>; r-help@r-project.org Subject: RE: [R] Adding a numeric class to a data.frame Jeff, The number of items is not relevant except insofar as your vector of probabilities is in the same order as the other vector and the same length. If for example you had a vector of test scores for 10,000 tests and you calculated the probability in the data of having a 100, then the probability of a 99 and so on, then you could make another vector of 10,000 giving the probability of the corresponding entries. So before calling ggplot, assuming you have two vectors called orig and prob, you make a data.frame like Df <- data.frame(orig=orig, prob=prob) You use that in ggplot. You can of course add additional columns. Or if your data is in another format, do things like long to wide conversion and many other things. If you already have a data.frame with one or more columns including orig, you can attache the probabilities with something as simple as: Df$prob = prob If you are using ggplot, you may as well be using elements of the tidyverse that provide a different take on how to do some things compared to base R but that is not something easily discussed here. -----Original Message----- From: Jeff Reichman <reichm...@sbcglobal.net> Sent: Sunday, June 4, 2023 10:21 PM To: avi.e.gr...@gmail.com; r-help@r-project.org Subject: RE: [R] Adding a numeric class to a data.frame 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]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.