On Mon, 2 Aug 2021 17:53:34 +0100
Rui Barradas wrote:
> Hello,
>
> I'm glad it helped.
> Here are a couple of ideas for theme.
Thanks Rui. The scope of your knowledge and understanding is simply
amazing!
cheers,
Rolf
--
Honorary Research Fellow
Department of Statistics
University of Au
Hello,
I'm glad it helped.
Here are a couple of ideas for theme.
1) From ?theme:
Theme inheritance
Theme elements inherit properties from other theme elements
hierarchically. For example, axis.title.x.bottom inherits from
axis.title.x which inherits from axis.title, which in turn inherits fro
I would like to tie off this thread (?!?!) by thanking Jeff Newmiller,
Rui Barradas, Avi Gross and Bill Dunlap for their advice and insight.
I have attached the code that I finally put together, on the basis of
the aforementioned advice, in the file ciPlot.txt. I have also
attached the necessary
Thanks to Bill Dunlap and Avi Gross for their clear and helpful answers
to my questions.
cheers,
Rolf Turner
--
Honorary Research Fellow
Department of Statistics
University of Auckland
Phone: +64-9-373-7599 ext. 88276
__
R-help@r-project.org mailin
Of Rolf Turner
Sent: Monday, July 19, 2021 7:24 PM
To: r-help@r-project.org
Subject: Re: [R] Plotting confidence intervals with ggplot, in multiple facets.
Thanks to Jeff Newmiller, Rui Barradas and Avi Gross for their extremely
helpful replies. I have got both Jeff's and Rui&#
ggplot2::labs() interprets expressions as plotmath. E.g.,
data.frame(X=1:10,Y=(1:10)^2) %>% ggplot(aes(X,Y)) + geom_point() +
labs(x = expression(beta), y = expression(beta^2))
-Bill
On Mon, Jul 19, 2021 at 4:24 PM Rolf Turner wrote:
>
>
> Thanks to Jeff Newmiller, Rui Barradas and
Thanks to Jeff Newmiller, Rui Barradas and Avi Gross for their
extremely helpful replies. I have got both Jeff's and Rui's code to
run. I am currently experimenting with Avi's suggestion of producing
multiple plots and then putting them together using plotgrid() or
grid.arrange(). This idea s
error bars being displayed with parts
below zero so showing where zero is graphically can be useful.
-Original Message-
From: R-help On Behalf Of Rolf Turner
Sent: Sunday, July 18, 2021 2:17 AM
To: r-help@r-project.org
Subject: [R] Plotting confidence intervals with ggplot, in multiple f
Hello,
Something like this?
library(ggplot2)
eg <- dget("data/egData.txt")
ggplot(eg, aes(Ndat, estimate)) +
� geom_errorbar(aes(ymin = lower, ymax = upper), width = 20) +
� geom_point(colour = "slateblue", size = 1) +
� geom_hline(yintercept = 0, colour = "red") +
� facet_grid(param ~ .) +
ggplot(dta,aes(x=Ndat,y=estimate, ymin=lower,ymax=upper))+
geom_point() +
geom_errorbar(width=30) +
facet_grid(param~1) +
theme_minimal()
Width parameter seems odd... play with it I suppose.
For facets, you can also use facet_wrap(~param, ncol=1).
ggplot is very much about the data and t
I have need of creating a plot displaying confidence intervals
(for the mean bias in parameter estimates) with one panel or facet
for each of the two parameters in question.
I can do this in base R graphics, but the result is not as
aesthetically pleasing as I would like. I have attached an exa
Thanks so much Jim. Yes, this is giving me what I want.
Philip
On 2019-12-08 05:00, Jim Lemon wrote:
Hi Philip,
This may be a starter:
attach(airquality)
heights <- tapply(Temp,Month,mean)
temp_sd<-tapply(Temp,Month,sd)
lower <- tapply(Temp,Month,function(v) t.test(v)$conf.int[1])
upper <- tap
Hi Philip,
This may be a starter:
attach(airquality)
heights <- tapply(Temp,Month,mean)
temp_sd<-tapply(Temp,Month,sd)
lower <- tapply(Temp,Month,function(v) t.test(v)$conf.int[1])
upper <- tapply(Temp,Month,function(v) t.test(v)$conf.int[2])
library(plotrix)
barp(heights,ylim=c(0,100),names.arg=m
Thanks for these helpful suggestions.
These options don't work in my case because I don't know the individual
observations (the dots). A statistical agency collects the observations
and keeps them confidential. It provides the mean value and the standard
deviation, plus the fact that the obser
Hi,
Would something like yarrr do the trick?
https://ndphillips.github.io/yarrr.html
Or gghalves? https://github.com/erocoar/gghalves
Cheers,
Ben
On Sat, Dec 7, 2019 at 9:32 PM wrote:
> I want to show little bell curves on my bar chart to illustrate the
> confidence ranges. The following ex
I want to show little bell curves on my bar chart to illustrate the
confidence ranges. The following example from Paul Teetor's "R Cookbook"
does what I want, but shows I-beams instead of bell curves. The I-beams
suggest uniform, rather than normal distributions. So I am looking for a
way to pl
Hi,
sadly it does not work either, because my index (x axis) is an atomic
vector.
Error Message: $ operator is invalid for atomic vectors
I think I have to stick to displaying the confidence intervals with
straight lines (ablines) , instead of a shaded area (polygon)
Thank you so much for your he
Hang on, maybe you mean something like this:
erupt_dens<-density(faithful$eruptions)
plot(erupt_dens,ylim=c(0,0.65))
dispersion(erupt_dens$x,erupt_dens$y,ulim=erupt_dens$y/5,
type="l",fill="lightgray",interval=TRUE)
lines(erupt_dens)
Jim
On Fri, Dec 2, 2016 at 9:36 PM, Jim Lemon wrote:
> In o
In order to display a polygon, you need x/y pairs for each point. If
you just want a rectangle, you only need four x/y pairs, e.g.:
plot(0,xlim=x(2.44,2.57),ylim=c(0,1),type="n")
polygon(c(2.44,2.57,2.57,2.44),c(0,0,1,1),col="lightgray")
Now if you have a series of x values and want to display a
Thank you,
this seems to work, but it is not exactly what I need (it indeed looks
great, but a bit beyond my understanding)
I just need a shaded area between 2.44 to 2.57 along the x-axis - a
polygon inserted into my density plot (and not a confidence line along a
scatter plot like your suggeste
Hi Elysa,
I think you are going a bit off course in your example. Try this and
see if it is close to what you want:
data<-rnorm(100)+runif(100,0,15)
smu_data<-supsmu(1:100,data)
rollfun<-function(x,window=10,FUN=sd) {
xlen<-length(x)
xout<-NA
forward<-window%/%2
backward<-window-forward
for(i
Hi, thank you!
I've constructed the upper and lower bounds with
a <- 2.505766
s <- 0.7789832
n <- 607
error <- qnorm(0.975)*s/sqrt(n)
left <- a-error
right <- a+error
left
right
Now, I have the numbers I need, but I have no idea how to plot them. I was
thinking of using a polygon, but som
> On Dec 1, 2016, at 12:10 PM, Elysa Mitova wrote:
>
> Hi,
>
> I am desperately looking for a way to plot confidence intervals into a
> density plot of only one variable (not a scatter plot etc.)
>
> Have you any advice how to do this?
>
> I've only found manual ways to do with "abline", but
Hi,
I am desperately looking for a way to plot confidence intervals into a
density plot of only one variable (not a scatter plot etc.)
Have you any advice how to do this?
I've only found manual ways to do with "abline", but this is a rather
bothersome method and only works with ggplot (and not g
Have you tried:
library(effects)
plot(allEffects(ines),ylim=c(460,550))
-Original Message-
From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Andre Roldao
Sent: Saturday, 2 May 2015 2:50p
To: r-help@r-project.org
Subject: [R] Plotting Confidence Intervals
Hi Guys,
It&#
;> d
>> ________
>> Feladó: R-help [r-help-boun...@r-project.org] ; meghatalmazó: Andre
>> Roldao [andre.rafael.rol...@gmail.com]
>> Küldve: 2015. május 2. 4:49
>> To: r-help@r-project.org
>> Tárgy: [R] Plotting Confidence Int
__
> Feladó: R-help [r-help-boun...@r-project.org] ; meghatalmazó: Andre
> Roldao [andre.rafael.rol...@gmail.com]
> Küldve: 2015. május 2. 4:49
> To: r-help@r-project.org
> Tárgy: [R] Plotting Confidence Intervals
>
> Hi Guys,
>
> It's the first time i use R-Help
rg] ; meghatalmazó: Andre Roldao
[andre.rafael.rol...@gmail.com]
Küldve: 2015. május 2. 4:49
To: r-help@r-project.org
Tárgy: [R] Plotting Confidence Intervals
Hi Guys,
It's the first time i use R-Help and i hope you can help me.
How can i plot conffidence intervals? with the data bellow:
#
Hi Guys,
It's the first time i use R-Help and i hope you can help me.
How can i plot conffidence intervals? with the data bellow:
#Package Austria
library(car)
#head(States)
States1=data.frame(States)
ines=lm(SATM ~ log2(pop) + SATV , data=States1)
summary(ines)
NJ=as.data.frame(States["NJ",c(
Would you like to do this plot in base graphics or in ggplot2? If the
latter, I'd suggest you look over Hadley's online documentation and
the archives of the dedicated ggplot2 mailing list.
If you want to do it in base graphics, you'll have to say what your
data set looks like and what sort of gra
On Jan 23, 2012, at 7:37 PM, klakoh wrote:
I have already obtained my confidence intervals from a bootstrapping
procedure and now I want to plot the estimates and the confidence
intervals
similar to the plots obtained when the geom_smooth function is used in
ggplot2.
Thanks
You should look
I have already obtained my confidence intervals from a bootstrapping
procedure and now I want to plot the estimates and the confidence intervals
similar to the plots obtained when the geom_smooth function is used in
ggplot2.
Thanks
--
View this message in context:
http://r.789695.n4.nabble.com/Pl
Hey guys,
Suppose i have
X ~ LN(0,1)
A = rlnorm(5)
How can I plot the 95% Confidence Interval of the ecdf of A in R?
Thank You
[[alternative HTML version deleted]]
__
R-help@r-project.org mailin
I actually need to plot all of my confidence interval for x and y axis but
it seems error.crosses only plot the common ones. But thanks for suggesting
error.crosses. Please let me know if I can specify some option in
eror.crosses to implement that.
Any idea about how to plot all confidence interva
Kim,
It is possible that error.crosses in the psych package will do what you want.
Bill
At 9:25 AM -0400 6/17/10, Kim Jung Hwa wrote:
Hello!
I would like to draw a graph like the following:
http://www.optics.rochester.edu/workgroups/cml/opt307/spr04/pavel/plot_small.jpg
Aim is to plot confi
Hello!
I would like to draw a graph like the following:
http://www.optics.rochester.edu/workgroups/cml/opt307/spr04/pavel/plot_small.jpg
Aim is to plot confidence intervals of treatments for X(=response1) and
Y(=response2) axis simultaneously to visualize aggreement of confidence
interval for two
To: R help
> Subject: [R] plotting confidence intervals
>
> Hi R People:
>
> If I have a fitted values from a model, how do I plot the
> (1-alpha)100% confidence intervals along with the fitted values,
> please?
>
> Also, if the intervals are "shaded" gray, th
Erin Hodgess wrote:
Hi R People:
If I have a fitted values from a model, how do I plot the
(1-alpha)100% confidence intervals along with the fitted values,
please?
Also, if the intervals are "shaded" gray, that would be nice too, please?
I check confint, but that doesn't seem to do what I want
Betreff: [R] plotting confidence intervals
Hi R People:
If I have a fitted values from a model, how do I plot the (1-alpha)100%
confidence intervals along with the fitted values, please?
Also, if the intervals are "shaded" gray, that would be nice too, please?
I check confint, but th
dex
HTH,
Daniel
-
cuncta stricte discussurus
-
-Ursprüngliche Nachricht-
Von: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] Im
Auftrag von Erin Hodgess
Gesendet: Tuesday, July 14, 2009 11:40 AM
An: R help
Betreff: [R] plotti
On Jul 14, 2009, at 10:40 AM, Erin Hodgess wrote:
Hi R People:
If I have a fitted values from a model, how do I plot the
(1-alpha)100% confidence intervals along with the fitted values,
please?
Also, if the intervals are "shaded" gray, that would be nice too,
please?
I check confint, but
Hi R People:
If I have a fitted values from a model, how do I plot the
(1-alpha)100% confidence intervals along with the fitted values,
please?
Also, if the intervals are "shaded" gray, that would be nice too, please?
I check confint, but that doesn't seem to do what I want.
Thanks in advance,
you can use the newdata statement in the predict function, as in
n<-50
x<-sample(40:70,n,rep=T)
y<-.7*x+rnorm(n,sd=5)
plot(x,y,xlim=c(20,90),ylim=c(0,80))
mylm<-lm(y~x)
abline(mylm,col="red")
newx<-seq(20,90)
prd<-predict(mylm,newdata=data.frame(x=newx),interval = c("confidence"),
level = 0.90,ty
Hello,
I am trying to generate a confidence interval (90 or 95%) of a regression
line. This is primarily just for illustration on a scatter plot (i.e. I am
trying to make this
http://www.ast.cam.ac.uk/~rgm/scratch/statsbook/graphics/anima4.gif).
I have been trying to use the predict.lm function,
44 matches
Mail list logo
