Thanks Terry,
Re: the second case (predicting from a null model with a newdata=
argument), I agree that it looks a bit over the top for such a
straight forward computation, so maybe it is more a wish than anything
else. In this one instance, this computation is embedded in a wider
multi-state sim
There is R-sig-debian (Ubuntu is a derivative of Debian), but to be honest,
this seems more like a question for askubuntu.com.
--
Sent from my phone. Please excuse my brevity.
On October 2, 2016 1:55:59 PM PDT, Rolf Turner wrote:
>
>Dunno exactly whom I should ask about this problem, but I thou
Hi Rolf,
I would try using dnf (or whatever the Ubuntu equivalent is) to
install the X11 fonts. You may have a GUI method for this in Ubuntu.
Jim
On Mon, Oct 3, 2016 at 7:55 AM, Rolf Turner wrote:
>
> Dunno exactly whom I should ask about this problem, but I thought I'd start
> with good old r-
Hi Elysa,
This is pretty much a guess. If you understand the first error, i.e.
that there are nine rows in your input data frame (?) that contain NA,
NaN, or Inf values, have you tried manually removing those rows and
feeding the remainder to your code?
Jim
On Sun, Oct 2, 2016 at 7:19 PM, Elysa
Hi,
So, I can draw/plot the usual 95% least squares confidence bands around the 3
fitted curves for MARS regression, but I don't know how to get the 95% BCa
bootstrapped confidence bands.
Any help would be highly appreciated.
Reproducible example :
##
Dataset =
data.frame(
Dunno exactly whom I should ask about this problem, but I thought I'd
start with good old r-help.
I have recently acquired a new laptop, and have installed Ubuntu 16.04
on it. Still having some teething problems.
If I do
plot(1:10,ylab=expression(italic(J(r)))
I get the error:
Error in
Use qr
tmp <- cbind(matrix(rnorm(30), 5, 6), 0)[, c(1,2,3,4,7,5,6)]
tmp
tmp.qr <- qr(tmp)
tmp.qr
tmp.qr$pivot
tmp.subset <- tmp[, tmp.qr$pivot[1:tmp.qr$rank]]
solve(tmp.subset)
On Sun, Oct 2, 2016 at 2:19 PM, Bertrand Marc wrote:
> Dear R helpers,
>
> I am looking for an efficient way to extrac
> On Oct 2, 2016, at 9:24 AM, mviljamaa wrote:
>
> I'm doing logistic regression and I need to infer the coefficients as odds
> ratios.
>
> I first did my model using lm(), but now that I need odd ratios, then should
> I have used glm() like displayed here:
>
> http://r.789695.n4.nabble.com/
Dear R helpers,
I am looking for an efficient way to extract (any) one of the biggest
invertible submatrix.
I have a rectangular matrix A (p x n), with rank k <= min(p, n). I would like
to get a submatrix (k x k) invertible, or even better, the list of rows and
columns of A which
would form th
Hi Henrik,
1. It could be that a virus checker locks the file.
This is some internal document so I don't think so and this was monitor
by our IT security team.
2. There are Windows software tools that identify which process locks
a particular file, e.g. LockHunter (http://lockhunter.com/). Th
Hi Robert,
sorry for the delays
Sometime download.file() failed to download the file and I would like
to remove the correspond file.
No answers, but a couple of additional questions:
1) Does the issue persist if you close R or does the file remain
locked against deletion?
no, if I close R th
Histogram using Sturges' bining
Hello,
I am trying to create a histogram using Sturges' bining rule, yet I keep
getting 2 errors, which probably have to do with the variable I am using.
Here is my process and the errors, what would you suggest?
k <- ggplot (world, aes (x=polstab))
wid <- ceili
I'm doing logistic regression and I need to infer the coefficients as
odds ratios.
I first did my model using lm(), but now that I need odd ratios, then
should I have used glm() like displayed here:
http://r.789695.n4.nabble.com/Odds-ratio-from-Logistic-model-in-R-td2630277.html
Right.
To see it in action just compare the results of the two calls to boot.
library(boot)
set.seed(1007)
x <- rnorm(100)
y <- x + rnorm(100)
dat <- data.frame(x, y)
#Wrong
stat1 <- function(DF, f){
model <- lm(DF$y ~ DF$x, data = DF[f,]) #Doesn't bootstrap DF
coef(model)
}
It's fairly straightforward with help from the purrr package:
library(purrr)
map_df(OB1, function(x) {
if (length(x) == 0) {
data.frame(id=NA_character_, nam=NA_character_, stringsAsFactors=FALSE)
} else {
data.frame(id=x[1], nam=names(x), stringsAsFactors=FALSE)
}
}, .id="V1")
O
Hi,
I have a list like below.
OB1 <- structure(list(aa0 = NULL,
aa1 = structure("23403", .Names = "BB10"),
aa2 = structure("54904", .Names = "BB20"),
aa3 = structure("22897", .Names = "BB30"),
aa4 = structure("3751", .Names = "BB40"),
aa5 = NULL,
aa6 = structure("3679", .Names = "BB50"),
> On 01 Oct 2016, at 16:11 , Daniel Nordlund wrote:
>
> You haven't told us anything about the structure of your data, or the
> definition of the DataSummary function.
Yes. Just let me add that a common error with boot() is not to pay attention to
the required form of the statistic= function
> On Oct 1, 2016, at 10:58 AM,
> wrote:
>
> Hello,
>
> I’m suman kumar. I am trying to use “syuzhet” packages and already installed
> it but when using it then facing some error.
> I have run these codes but in second line, it is showing errors.
>
> library(syuzhet)
> textdata= get_text_as_
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