Sounds like you always got corrupted vesions. Either an issue with your
connection or the mirror. What happens if you try another mirror and
clear your browser caches?
Best,
Uwe Ligges
On 05.03.2021 08:58, Abby Spurdle wrote:
Does the following sound familiar?
The Windows installer starts in
Dear all
I have table of quantiles, probably from lognormal distribution
dput(temp)
temp <- structure(list(size = c(1.6, 0.9466, 0.8062, 0.6477, 0.5069,
0.3781, 0.3047, 0.2681, 0.1907), percent = c(0.01, 0.05, 0.1,
0.25, 0.5, 0.75, 0.9, 0.95, 0.99)), .Names = c("size", "percent"
), row.names = c
Hello,
In
us_counties <- read.csv(text = x)
remove 'text=', you are reading from a url, not from a text string.
Hope this helps,
Rui Barradas
- Mensagem de Gayathri Nagarajan -
Data: Thu, 4 Mar 2021 21:51:05 -0800
De: Gayathri Nagarajan
Assunto: Re: [R] A tibble with da
Hi,
I am converting a couple of functions into a R-package. Many of the
functions use data.table.
I have two questions using data.table in my own package.
Normally I would put each question in separate emails but I think they
might be connected.
First question is short and I think the answe
Please ignore my previous email. I just found the R-package-devel mailing
list.
On Fri, 5 Mar 2021 at 14:25, Martin Møller Skarbiniks Pedersen <
traxpla...@gmail.com> wrote:
> Hi,
>
> I am converting a couple of functions into a R-package. Many of the
> functions use data.table.
> I have two
Good morning everyone,
I am running into errors with poLCA as follows:
Error in round(mf) : non-numeric argument to mathematical function.
Here is what I have. Both variables are coded as 1, 2, 3
df <- as.data.frame(data)
items <- c("x1", "x2") <- there are more variables but shortened for th
Hi Rui
Alas, at last this worked and this is what I did :
1) I stopped debugging and started a fresh new table to display in shiny UI
using this example-https://shiny.rstudio.com/gallery/basic-datatable.html
2) Now instead of the table mpg, I plugged in my us_counties above at first
and it worked
I believe these questions belong on r-package-devel, not here.
Bert Gunter
"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Fri, Mar 5, 2021 at 5:25 AM Martin Møller Skarbin
Your example could probably be resolved with approx. If you want a more robust
solution, it looks like the fBasics package can do spline interpolation. You
may want to spline on the log of your size variable and use exp on the output
if you want to avoid negative results.
On March 5, 2021 1:14
On 3/5/21 1:14 AM, PIKAL Petr wrote:
Dear all
I have table of quantiles, probably from lognormal distribution
dput(temp)
temp <- structure(list(size = c(1.6, 0.9466, 0.8062, 0.6477, 0.5069,
0.3781, 0.3047, 0.2681, 0.1907), percent = c(0.01, 0.05, 0.1,
0.25, 0.5, 0.75, 0.9, 0.95, 0.99)), .Na
I note three problems with your data:
(1) The name "percent" is misleading, perhaps you want "probability"?
(2) There are straight (or near-straight) regions, each of which, is
equally (or near-equally) spaced, which is not what I would expect in
problems involving "quantiles".
(3) Your plot (appro
This was quite some time ago.
Namely, 2019.
At the time, I was using a mix of old Windows 8 and 9 computers.
The problem happened on Windows 8, but not Windows 9.
Note that I was trying to help the OP.
Beyond that, I'm not concerned about it.
On Fri, Mar 5, 2021 at 9:30 PM Uwe Ligges
wrote:
>
I'm sorry.
I misread your example, this morning.
(I didn't read the code after the line that calls plot).
After looking at this problem again, interpolation doesn't apply, and
extrapolation would be a last resort.
If you can assume your data comes from a particular type of
distribution, such as a
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