Hello,
Inline.
Às 23:29 de 22/04/20, varin sacha via R-help escreveu:
Dear R-experts,
Here below the reproducible example. I can not add the "green" gam curve on the
plot. The last line of my R code gives me problem. There is a message error that I don't
understand. Many thanks for your prec
On 4/22/20 3:29 PM, varin sacha via R-help wrote:
Dear R-experts,
Here below the reproducible example. I can not add the "green" gam curve on the
plot. The last line of my R code gives me problem. There is a message error that I don't
understand. Many thanks for your precious help.
Dear R-experts,
Here below the reproducible example. I can not add the "green" gam curve on the
plot. The last line of my R code gives me problem. There is a message error
that I don't understand. Many thanks for your precious help.
###
a <- a
I cannot tell from your message whether
(a) your project is a statistical consulting one and you want to
use R to do the calculations and graphics for it, but will not
give your client R itself,or
(b) your project will deliver software to the client, and that
software will include a
It is legal (subject to licensing conditions), as mentioned by Duncan and Jeff.
However, I would like to add two comments:
(1) If you use R in publications/reports, I strongly recommend you cite R.
(2) If you benefit from R, I strongly recommend contributing to R, in some form.
This could include
In lattice, e.g. xyplot, one simply uses panel functions to "overlay"
various constructs (point plots, smooth curves, text, etc.). If that
is relevant and you do not know about it, then you have homework to
do. ?xyplot or Deepayan's book or tutorials would be places to start
for that. Otherwise, ??
All the xYplot() functions using Cbind() or cbind() does just exactly what I
want (Cbind provides aplot of 3 summary statistics and cbind provides the raw
values). I just cannot find anyway to overlay them.
Brian
Brian S. Cade, PhD
U. S. Geological Survey
Fort Collins Science Center
2150 Cen
On 4/22/20 7:31 AM, Cade, Brian S via R-help wrote:
Hi All. I am trying to construct a graph using the xYplot() function in Hmisc
package (thank you Frank Harrell) taking advantage of the Cbind() argument for
plotting the median, 10th, and 90th quantiles and also the cbind() argument for
in
Reproducible example with data via dput?
Code that you used that 'didn't work'?
Error messages or output and why it was not satisfactory?
Following the posting guide by providing such information is more
likely to generate useful answers and save both you and those who try
to help a lot of wasted
Hi All. I am trying to construct a graph using the xYplot() function in Hmisc
package (thank you Frank Harrell) taking advantage of the Cbind() argument for
plotting the median, 10th, and 90th quantiles and also the cbind() argument for
individual data values. I know how to do both of these se
Hi,
I am playing with the ggraph that is amazing. But i don't quite understand
some of the options it has. For example:
gr <- graph_from_data_frame(flare$edges, vertices = flare$vertices)
l <- ggraph(gr, layout = 'partition', circular = TRUE)
l + geom_node_arc_bar(aes(fill = depth)) +
coord
Hi Julie,
Your task is a bit obscure and I don't have the function
"st_intersects", but I'll suggest this:
br_list<-list()
# your commands would have only run once
for (i in 1:nrow(arrets_buffer)) {
br_list[[i]]<- st_intersects(x = batiments, arrets_buffer[i,], sparse = FALSE)
}
You should get
Dear Martin,
Thanks so much for this response. I have attempted a reproducible example
below. The 'real' issue involves a much larger data set, but the very small
example below produces very small differences in the standard errors between
different R versions, which may have the same root caus
Hi Eric,
Thanks for your help. This is really helpful.
I have also adjusted the code to ensure filename has the
base url and suffix as strings.
thanks,
bhaskar
On Tue, Apr 21, 2020 at 12:16 AM Eric Berger wrote:
> Hi Bhaskar,
> Why not just create a function that does the repetitive work, suc
Hello,
> I want to build a map (bus accessibility map) and for that I need to identify
> some polygons intersections. To do that I have 2 data.frame: batiments (that
> gives buildings in a city) and arrets_buffer (that gives bus stops (points)
> with a buffer around the point).
>
> I want to h
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