Martin,
Yes, I should have test it earlier. Thank you for the response!
With best wishes,
Alexey
чт, 2 июл. 2020 г. в 22:30, Martin Maechler :
>
> > Alexey Shipunov
> > on Wed, 1 Jul 2020 23:58:04 +0900 writes:
>
> > Dear colleagues,
> > There is a new problem with
I am unfamiliar with Rnomads. Could you provide a minimal reproducable
example? You are more likely to receive help this way.
On Thu, Jul 2, 2020, 18:06 Philip wrote:
> Is anyone out there familiar with rNOMADS? It is a package to get into
> National Weather Service forecasting data with R?
>
Is anyone out there familiar with rNOMADS? It is a package to get into
National Weather Service forecasting data with R?
I'm not sure the Weather Service software named wgrib2 loaded correctly because
some of the stuff won't run and I can't make much sense out of some of the
output.
Thanks.
Thank you very much, Jim and Rui.
The line that ended up working for me was this:
> ed_exp3 <- unclean_data[which(unclean_data$question == 3) %in% c("`grid
> text`")]
However, as I read and study Jim's and Rui's code, I see how those
would work too. Thank you all again!
On Thu, Jul 2, 2020 at
> Alexey Shipunov
> on Wed, 1 Jul 2020 23:58:04 +0900 writes:
> Dear colleagues,
> There is a new problem with dotchart(), and it is very simple to
reproduce.
> Just run example(dotchart).
> On R versions < 4, group labels ("Urban Female" and so on) were
>
Hi Emma,
You write
"I get numbers that are exponential (e.g., 1.877030e+01) "
1.877030e+01
is scientific notation. It means 1.877030 * 10 ( = 18.7703).
This seems like a perfectly good percentile.
HTH,
Eric
On Thu, Jul 2, 2020 at 4:12 PM Emma Parrish
wrote:
> Hello all,
> I am having some
Hello all,
I am having some trouble with the effectsize package in R. I am trying to
convert Z scores to percentiles using the convert_z_to_percentile command.
This same code (below) has worked for 3 other variables, but not these 2
variables
However, when I use the function to convert other z
Hello,
Maybe the following is what you are looking for.
unclean_data %>%
filter(question == 3) %>%
mutate(line = row_number()) %>%
select(line, `grid text`)
Hope this helps,
Rui Barradas
Às 23:47 de 01/07/2020, Drake Gossi escreveu:
> Hello!
>
> Question. I'm dealing with a
Got it, thanks!
Now I get:
```
actual <- c(8, 24, 39, 63, 89, 115, 153, 196, 242, 287,
344, 408, 473,
546, 619, 705, 794, 891, 999, 1096, 1242, 1363,
1506, 1648, 1753,
1851, 1987, 2101, 2219, 2328, 2425, 2575, 2646,
Hi Drake,
This is a guess on my part, but what about:
\
q3only<-unclean_data[unclean_data$question == 3,]
then perform your operations on q3only
Jim
On Thu, Jul 2, 2020 at 8:35 PM Drake Gossi wrote:
>
> Hello!
>
> Question. I'm dealing with a large excel sheet that I'm trying to tidy
> and
Hello!
Question. I'm dealing with a large excel sheet that I'm trying to tidy
and then visualize, and I'm wondering how I might specify the data I'm
visualizing.
Here's the data frame I'm working with:
> str(unclean_data)
Classes ‘tbl_df’, ‘tbl’ and 'data.frame': 1909 obs. of 9 variables:
$
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