This can easily be done using predict.lm to get the intervals (confidence
or prediction).
?predict.lm contains a plotting example using ?matplot from the graphics
package. Here's a somewhat verbose version for your example (first
converting Year to numeric, of course):
df=data.frame(year= c(2012,2
Às 22:35 de 10/12/2023, varin sacha via R-help escreveu:
Dear R-experts,
Here below my R code, as my X-axis is "year", I must be missing one or more
steps! I am trying to get the regression line with the 95% confidence bands around the
regression line. Any help would be appreciated.
Best,
S.
Dear R-experts,
Here below my R code, as my X-axis is "year", I must be missing one or more
steps! I am trying to get the regression line with the 95% confidence bands
around the regression line. Any help would be appreciated.
Best,
S.
#
library(g
It would be nice to see what OP wanted to end up with, but the link contained
input data to experiment with.
The first problem is that if you are not interested in working with the whole
set of columns then you need to only give a data frame with the columns you
want to work with:
dta.wide <-
Posting a few rows, say 5, of your data using dput() along with the result
that you would like to get for those rows would help get you a quicker and
more accurate response, I believe. This is as suggested by the posting
guide, linked below, which you should read if you have not already.
-- Bert
Hi all!
I1m trying to re-format some data from long to wide format with reshape().
Specifically, the data has SURVEYDATE, which I want to be in the rows, and
COMMON_NAME which should be the columns. The entries should be TOTAL_CATCH.
The data has a bunch of other variables, which can be ignored.
В Fri, 8 Dec 2023 08:21:16 +0100
Konrad via R-help пишет:
> My problem is how to replicate the Eliminate function in R.
While R does invite the user to "compute on the language", i.e. take R
expressions and function calls and work with them as with ordinary
variables [*], so far nobody wrote a c
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