Hello,
First of all, your question is about 'predict' but you include graphic
instructions that have nothing to do with it. They do not hurt, but the
reproducible example should also be minimal.
Second, whenever you use RNG's, you should start it with set.seed().
Now, I have edited your
] On Behalf Of WRAY NICHOLAS
via R-help
Sent: Wednesday, January 31, 2018 6:20 PM
To: r-help <r-help@r-project.org>
Subject: [R] Problems with "predict" function ii
I have realised that I should have used "detach" before attaching another
dataframe, but even when I do this
Your messages about masking come from attaching your data set to the R session.
In general, that is bad practice as it leads to confusing code. It is typically
better to use the “data” argument in things like lm() to accomplish this task.
As near as I can tell, your second set of predictions
This is the kind of thing that leads experienced R users to avoid attach for
data analysis. Read "The R Inferno".
Use the "data" argument to lm, and the "newdata" argument to predict.lm.
--
Sent from my phone. Please excuse my brevity.
On January 31, 2018 9:20:10 AM PST, WRAY NICHOLAS via
I have realised that I should have used "detach" before attaching another
dataframe, but even when I do this it's still giving me lots of lines, rather
than just one:
My code:
m<-runif(1,0,1)
m
mres<-m*(seq(1,12))
mres
ssd<-rexp(1,1)
ssd
devs<-rep(0,length(mres))
for(i in
Hello,
I am synthesising some sales data over a twelve month period, and then trying to
use the "predict" function, firstly to generate a thirteenth month forecast with
upper and lower 95% confidence limits. So far so good
But what I then want to do is add the upper sales value at the 95th
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