Hola Marco, aquí hay dos aproximaciones al problema con dos de las
librerías más usadas para hacer gráficos (además de base):
1. Con la librería latticeExtra
https://www.r-graph-gallery.com/145-two-different-y-axis-on-the-same-plot.html
2. Con la librería ggplot:
Muy buenos días a todos!
Podrían ayudarme con mi siguiente problema?
Estoy tratando de preparar en R una gráfica con dos ejes en Y.
El primer eje contiene el número de incendios ocurridos en un periodo de tiempo
1998 a 2021 (Barplot),
El segundo eje contiene la superficie afectada (line).
Algo
Hello:
https://cran.r-project.org/bin/macosx/
Download the R-4.1.0.pkg and install it as you would any macOS app.
~jeff
Jeffrey M. Hunter
Sr. DBA, Mathematics Programmer, Author
jhun...@idevelopment.info
A computer without a Microsoft operating system is like a dog without bricks
tied to its
If the below is not helpful, post on r-sig-mac rather than here.
You should be able to download and install a precompiled binary (no
zip files to unzip and compile) from here:
https://cran.r-project.org/
Bert Gunter
"The trouble with having an open mind is that people keep coming along
and
What web site did you go to? Have you tried:
https://cran.r-project.org/bin/macosx/
Then click on "R-4.1.0.pkg". That should download as normal. Then
double click on that, etc.
Spencer Graves
On 7/6/21 3:52 PM, Farrah T wrote:
Hello,
I have Mac Version 10
Hello,
I have Mac Version 10 Catalina and I would like to download R on this device
for my summer class. I have difficulty to find a right option when I go to the
website. May you please kindly share the step by step guidance with me. The
screenshot with be great. I downloaded few zip files
Hello all,
I have to learning R from beginning, since my group will get rid of SAS. So, my
question may not be very clear for professional R user. I always dealing with
column in data frame, not data vector.
Many thanks to Greg's example. it is very helpful.
one more question, how can I know
Hello,
Also, in the code
x <- data.matrix(Ozone_weekly)
[...omited...]
for(i in 1:nrow(x))
+ { for(j in 1:ncol(x))
+ {x[i,j] = 1}}
not only you rewrite x but the double for loop is equivalent to
x[] <- 1
courtesy R's vectorised behavior. (The square parenthesis are needed to
keep
Hi Siti,
I think we need a bit more information to respond helpfully. I have no
idea what "Ozone_weekly2" is and Google is also ignorant. "gev.fit" is
also unknown. The name suggests that it is the output of some
regression or similar. What function produced it, and from what
library? "ti" is
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