similar to: confidence interval as shaded band (lme)

Hi, does anyone know how do I plot confidence intervals as a shaded band around a curve, rather than as errors bars? many thanks, ulisses. [[alternative HTML version deleted]]

Colleagues, Here is my reproducible code for a graph using geom_smooth set.seed(55) scatter_data <- tibble(x_var = runif(100, min = 0, max = 25) ?????????????????????? ,y_var = log2(x_var) + rnorm(100)) library(ggplot2) library(cowplot) ggplot(scatter_data,aes(x=x_var,y=y_var))+ ? geom_point()+ ? geom_smooth(se=TRUE,fill="blue",color="black",linetype="dashed")+

How do I add to a trellis plot the best fit line from a robust fit? I can use panel.lm to add a least squares fit, but there is no panel.rlm function. -- Alan S Barnett <asb at mail.nih.gov> NIMH/CBDB

Hello - So I am trying to use ggplot2 to show a linear regression between two variables, but I want to also show the fit of the line on the graph as well. I am using ggplot2 for other graphics in what I am working on, so even though this would be a fairly easy thing to do in Excel, I would prefer to do it in R to keep my look and feel, and I think ggplot2 is just cooler. Here is a sample

?s 05:17 de 12/08/2023, Thomas Subia via R-help escreveu: > Colleagues, > > Here is my reproducible code for a graph using geom_smooth > set.seed(55) > scatter_data <- tibble(x_var = runif(100, min = 0, max = 25) > ?????????????????????? ,y_var = log2(x_var) + rnorm(100)) > > library(ggplot2) > library(cowplot) > > ggplot(scatter_data,aes(x=x_var,y=y_var))+

G'day Thomas, On Sat, 12 Aug 2023 04:17:42 +0000 (UTC) Thomas Subia via R-help <r-help at r-project.org> wrote: > Here is my reproducible code for a graph using geom_smooth The call "library(tidyverse)" was missing. :) > I'd like to add a black boundary around the shaded area. I suspect > this can be done with geom_ribbon but I cannot figure this out. Some >

Hi, today, I noticed a problem in focus handling for shaded windows which is pretty easy to reproduce: - Disable "Click to focus" - Shade a window - Hover another window - Hover back to the window frame of the shaded window - Press Ctrl+Alt+S Expected behaviour would be that the shaded window is unshaded. What happens is that the last active window is shaded. I investigated this a

>> today, I noticed a problem in focus handling for shaded windows which is >> pretty easy to reproduce: >> >> - Disable "Click to focus" >> - Shade a window >> - Hover another window >> - Hover back to the window frame of the shaded window >> - Press Ctrl+Alt+S >> >> Expected behaviour would be that the shaded window is

--- src/paint.c | 14 ++++++++++++-- 1 files changed, 12 insertions(+), 2 deletions(-) diff --git a/src/paint.c b/src/paint.c index 00cbf73..4ddd332 100644 --- a/src/paint.c +++ b/src/paint.c @@ -193,7 +193,12 @@ paintOutputRegion (CompScreen *screen, if (w->destroyed) continue; - if (!w->shaded) + if (w->shaded) + { + if (w->id < 2) + continue; + } + else

Hello, I would like to place shaded boxes on different areas of a phylogenetic tree plot. Since I can not determine how to find axes on the phylogenetic tree plot I am not able to place the box over certain areas. Below is example code for the shaded box that I have tried to use, and the first four values specify the position. rect(110, 400, 135, 450, col="grey",

Hi Folks, I'm looking to do Confidence bands around LOESS smoothing curve. If found the older post about using the Standard error to approximate it https://stat.ethz.ch/pipermail/r-help/2008-August/170011.html Also found this one http://www.r-bloggers.com/sab-r-metrics-basics-of-loess-regression/ But they both seem to be approximations of confidence intervals and I was wonder if there was

Hi I would like to plot the variation of some mean values with time, and have the standard deviation around the mean shaded on the plot. I could not find a way to have the shaded area on the curve with the default R commands, do I need a special package to do that? Or any idea of a way with the default R commands? Many thanks Thomas -- Thomas Loridan King's College email: thomas.loridan

Hello, I drew a plot of weight and height of people and fitted it with a polynominal regression x^2. (using curve()) Now I would like to draw the confidence interval line for the fitted curve. Please kindly advise the code for the purpose. Thank you. Elaine [[alternative HTML version deleted]]

Hello, I have the following sample dataset. sex <- as.factor(c(rep(0,12),rep(1,12))) char <-

Hi, I want to make a plot with abline where the area below or above the curve is shaded. I can't find any documentation on that. Can anybody help me with that? thanks, Juffi

Dear R users, I have an xlsx file (attached to this mail) that shows the values of a "der" series observed on a daily basis from January 1, 2017 to January 25, 2017. This series is strictly positive during two periods: from January 8, 2017 to January 11, 2017 and from January 16, 2017 to January 20, 2017. I would like to plot the series with two shaded areas corresponding to the

Hallo Excel attachment is not allowed here, but shading area is answered many times elsewhere. Use something like . "shading area r" in google. See eg. https://www.geeksforgeeks.org/how-to-shade-a-graph-in-r/ Cheers Petr -----Original Message----- From: R-help <r-help-bounces at r-project.org> On Behalf Of George Brida Sent: Wednesday, March 1, 2023 3:21 PM To: r-help at

Dear list members, I would like to plot a time series, with grayshaded background in time phases were the value of the timeseries exceeds the mean value. For example, if the temperature from 1995-1998 exeeds the mean value between 1980 and 2005, the background in the plot from 1995-1998 shall be shaded. Can anybody help me? Thanks Thomas H.

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, Sincerely, Erin -- Erin Hodgess Associate Professor Department of Computer and

As Peter says, the list is very cautious about what types of files it allows. A handy way to supply some sample data is the dput() function. In the case of a large dataset something like dput(head(mydata, 100)) should supply the data we need. Just do dput(mydata) where *mydata* is your data. Copy the output and paste it here. On Wed, 1 Mar 2023 at 09:58, PIKAL Petr <petr.pikal at