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
Still waiting for you to communicate...
https://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example
On June 4, 2023 7:20:56 PM PDT, Jeff Reichman wrote:
>Yes - I could have done that but I have over 5,000 calculated probabilities.
>So yes a little more detail would
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
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,
The obvious answer is
My_df$col_2 <- prob_result
but whether that would work might depend on the structure of prob_result.
What does
dput(prob_result)
return?
On June 4, 2023 4:11:08 PM PDT, Jeff Reichman wrote:
>R-Help Community
>
>
>
>How do I add a numeric class to a data .frame.
>
>
R-Help Community
How do I add a numeric class to a data .frame.
For example, I have calculated the following probabilities
123
0.0011566127 0.0009267028 0.0081623324
How would I add them back into my data.frame for example
My_df <-
Dear Martin,
REgrets to reply this late
I am staring at a conundrum never before encountered in my experience with R:
LYGH[[201]]
[1] 45.40 3.25 6.50 2.15
> arfima(LYGH[[201]])
Error in .fdcov(x, fdf$d, h, nar = nar, nma = nma, hess = hess, fdf.work =
fdf$w) :
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