In line
On Mon, 10 Feb 2020 at 15:12, Ana Marija
wrote:
> Hi,
>
> Thanks for getting back to me. I need to have there two groups:
>
> "nPDR.rg and "PDR.rg"
>
Your sample data only contains NoD.rg & nPDR.rg. To start with, I think
we need some representative data supplied in dput format just
Hello,
In the loop, try filtering out the values you do not want.
Any of
print(ggscatter(mds %>% dplyr::filter(cols != "NoD.rg"), etc))
print(ggscatter(subset(mds, cols != "NoD.rg"), etc))
tmp <- mds %>% filter(cols != "NoD.rg")
print(ggscatter(tmp, etc))
The first two will create a tempora
Hi,
Thanks for getting back to me. I need to have there two groups:
"nPDR.rg and "PDR.rg"
can you please let me know how my loop would look like just with those
two groups?
Thanks
Ana
On Mon, Feb 10, 2020 at 2:03 PM John Kane wrote:
>
> I must admit that I do not understand what you are doin
I must admit that I do not understand what you are doing but can you notm
just subset the data?
Note I am using a data.frame not a tibble. It would be helpful if you
could supply sample data in dput() forest.
library("ggpubr")
mds <- structure(list(Dim.1 = c(0.41, 0.184, 0.394, -0.49, 0.635, -0
Hello,
I have a code like this:
mds <- (ar_diff) %>% dist() %>% cmdscale(k=3) %>% as_tibble()
mds$cols <- as.factor(c(rep("nPDR.rg",7), rep("PDR.rg",8), rep("NoD.rg",7)))
pdf(file = "RG.pdf")
for (dim1 in 1:2){
for (dim2 in (dim1+1):3){
d1 = paste0("Dim.",dim1); d2 = paste0("Dim.",dim2
Hello,
R-help has a no homework policy.
Please find help somewhere else,
Rui Barradas
Às 10:50 de 09/02/20, hương phạm escreveu:
N1 Consider the database "LakeHuron" , containing the annual measurements
of the level (in feet) of Lake Huron 1875{1972, see
https://stat.ethz.ch/R-manual/Rdevel/l
Homework questions are generally frowned upon on R-help List. It is best to
discuss those questions with your instructor.
--Chris Ryan
SUNY Upstate Medical University Clinical Campus at Binghamton
On Mon, Feb 10, 2020 at 9:39 AM hương phạm wrote:
> N1 Consider the database "LakeHuron" , contain
N1 Consider the database "LakeHuron" , containing the annual measurements
of the level (in feet) of Lake Huron 1875{1972, see
https://stat.ethz.ch/R-manual/Rdevel/library/datasets/html/LakeHuron.html.
The general aim is to estimate the probability density of the level of the
lake.
(i) Construct the
Dear all,
I got a message from the spdep package developer and suggested me to open a
GitHub issue for the problem. Please follow the discussion at:
https://github.com/r-spatial/spdep/issues/38
Cheers,
J
De: Juan Antonio Rodriguez Perez
Enviado: venres 07 f
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