Hello Rui,
Thanks a lot for your response. But, I will surely say that the data I
attached is in long format as it has 18 rows (3 alternatives*3
questions* 2 individuals). Had it been a wide format data it would
have had 6 rows (3 questions* 2 individuals). But, anyway thanks.
Best,
Rahul
On We
Hi John,
Brilliant solution and the best sort - when you finally solve your
problem by yourself.
Jim
On Thu, Oct 1, 2020 at 2:52 AM array chip wrote:
>
> Hi Jim,
>
> I found out why clip() does not work with lines(survfit.object)!
>
> If you look at code of function survival:::lines.survfit, in
Yes, I just wanted to decrease the STARTING point size!
Sorry for not being able to formulate
Thank you very much, Rui and Avi!
That's all for now. I need to comprehend information.
Medic
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Hello,
Inline.
Às 20:01 de 30/09/20, Medic escreveu:
№1 Medic:
The code works as I want, but the points (circles) on the plot are too
big. How to decrease them? Where to insert (for instance) size = 0.8
for points (circles) on plot?
p1 <- p + geom_point(aes(size = Stage), alpha = 1/3) + xlab (
№1 Medic:
The code works as I want, but the points (circles) on the plot are too
big. How to decrease them? Where to insert (for instance) size = 0.8
for points (circles) on plot?
p1 <- p + geom_point(aes(size = Stage), alpha = 1/3) + xlab ("X") +
ylab("Y") + geom_smooth()
Stage is factor, x and
Hello,
That's the problem of not having a reproducible example, you only gave
us one value for size.
Try
nsize <- length(unique(df1$Stage))
before the plot and then
p1 + scale_size_manual(values = rep(0.8, nsize))
Hope this helps,
Rui Barradas
Às 17:58 de 30/09/20, Medic escreveu:
The
The code works as I want, but the points (circles) on the plot are too
big. How to decrease them? Where to insert (for instance) size = 0.8
for points (circles) on plot?
p1 <- p + geom_point(aes(size = Stage), alpha = 1/3) + xlab ("X") +
ylab("Y") + geom_smooth()
Stage is factor, x and y - continuo
Hi Jim,
I found out why clip() does not work with lines(survfit.object)!
If you look at code of function survival:::lines.survfit, in th middle of the
code:
do.clip <- getOption("plot.survfit")
if (!is.null(xx <- do.clip$plotclip))
clip(xx[1], xx[2], xx[3], xx[4])
This will re
Thank you Jim for helping! Yes, I will try Mark's method.
John
On Wednesday, September 30, 2020, 01:47:55 AM PDT, Jim Lemon
wrote:
Hi John,
Hmmm, this works:
plot(1:10)
xylim<-par("usr")
clip(5,xylim[2],xylim[3],xylim[4])
lines(10:1)
so I suspect that there is a "lines" method that resets
Dear R community
The new version of the package brant (0.3-0) is now available on CRAN. It
contains the function brant() to test the parallel regression assumption for
ordinal logistic regression models.
I this version I fixed a bug which led in some situations to an error
message and I add
Hello,
Your example is not reproducible but here it goes.
Data:
df1 <- iris[c(1, 2, 5)]
Use scale_size_manual.
1. If Stage is a factor or character
df1$Stage <- "a"
p <- ggplot(df1, aes(Sepal.Length, Sepal.Width, color = Species))
p1 <- p +
geom_point(aes(size = Stage), alpha = 1/3) +
The code works as I want, but the points are too big. How to decrease
them? (Where to insert: size = 0.8?)
p1 <- p + geom_point(aes(size = Stage), alpha = 1/3) + xlab ("X") +
ylab("Y") + geom_smooth()
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Hi John,
Hmmm, this works:
plot(1:10)
xylim<-par("usr")
clip(5,xylim[2],xylim[3],xylim[4])
lines(10:1)
so I suspect that there is a "lines" method that resets the clipping
region out of sight. Fortunately Mark Schwartz provided a way to get
your plot so I will give the wall against which I have b
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