similar to: Interaction scatterplots in ggplot with multiple regression lines

With ggplot2, I can plot the glm stat_smooth for binomial data when the response is binary or a two-level factor as follows: data("Donner", package="vcdExtra") ggplot(Donner, aes(age, survived)) + geom_point(position = position_jitter(height = 0.02, width = 0)) + stat_smooth(method = "glm", family = binomial, formula = y ~ x, alpha = 0.2, size=2) But how can I

Buenos días. Hago mis mapas con el código que os copio abajo, pero me gustaría que me dibujase las líneas del mapa después de poner los puntos para que se vean. Puedo hacer los puntos más pequeños, pero entonces quedan separados y yo quiero que rellenen el mapa. Gracias, como siempre, Manuel print(ggplot(legend=FALSE)+geom_path(data=map_data('world'), aes(x=long,

Buenos días. Tengo dos mapas que hago con ggplot (abajo) y necesito superponer el 2º al 1º. En el 1º se representa la variable PA, binomial (0, 1), en gris, y en el 2º la variable ExtTG7085, que es numérica y va de 0 a 200. La 2ª es un gradiente en rojo. Lo ideal sería que donde coinciden el rojo de la 2ª se viera más oscuro, pero supongo que eso no es fácil. Podría también ser en otro color, pero

I'm fitting a lme growth curve model with two predictors and their interaction as predictors. The multilevel model is nested so that level 1 is time within the individual, and level 2 is the individual. I would like to plot the mean group-level trajectories at plus and minus 1 SD from the mean of the main effects composing the interaction term. Thus, the plot should have 4 lines (mean

Muy buenas. Quiero hacer un mapa que me pinte en azul los valores negativos y en rojo los positivos. Los negativos llegan hasta -400 y los positivos hasta 200. Si pongo limits=c(-200, 200), me colorea bien los positivos (rojo), pero los negativos por debajo de -200 me los pone gris. Si pongo limits=c(-400, 200), me colorea bien los negativos (azul), pero los positivos apenas se ven. Necesito que

I have been struggling to get the legends in ggplot2 right or do away with them altogether (on which I have already sent a post). In the following code, the labels argument in the scale_colour_gradient2 does not give me the desired labels in the legend. Could someone explain? qplot(Year,CDR,data=b3,colour=Phase,geom=c("point","line"),legend.position="bottom")->p

Hi all, I am using ggplot2 and continuing to find it very useful and pretty. However, I am trying to create some graphics for publication that would be included in an MS Word document (not my choice!) in Windows Vista. The problem is that I want to use stat_smooth() to add an fitted linear model line along with its 95% confidence band, but I cannot seem to get the confidence band in a format

Gracias Emilio. Si, son asimétricos porque se mueven en rangos distintos. De hecho, miden cosas distintas, pero una muestra no puede ser positiva y negativa a la vez. Me planteo multiplicar las positivas por 2 y al editar el mapa corregirlo para que indique los valores reales. Eso funcionaría, pero son muchos mapas y quizás haya una función en ggplot que evite el problema directamente. Manuel El

Hi all, Does one of you know if there is any way to combine a "nls" method in the stat_smooth of ggplot? Regards -- ------------- Benoit Boulinguiez Ph.D student Ecole de Chimie de Rennes (ENSCR) Bureau 1.20 Equipe CIP UMR CNRS 6226 "Sciences Chimiques de Rennes" Avenue du G?n?ral Leclerc CS 50837 35708 Rennes CEDEX 7 Tel 33 (0)2 23 23 80 83 Fax 33 (0)2 23 23 81 20

Hello, I drew a simple area plot using ggplot2 using set <- read.table(file="http://www.jovian.nl/set.csv", head=1, sep=",") library(ggplot2) ggplot() + layer( data = set, mapping = aes(x = time, y = hours), geom = "area", stat="smooth", color="red" ) + layer( data = set, mapping = aes(x = time, y = hours), geom = "area",

Dear all I would like to superpose some smoothing line through boxplot in ggplot > dput(ad) structure(list(konc.f = structure(c(1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 4L, 6L, 6L, 6L, 7L, 7L, 7L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L, 3L, 4L, 4L, 4L,

No sé muy bien, Carlos, como hacerlo, pero no parece más sencillo que lo de multiplicar por 2 los positivos y después editar el mapa. De lo que decías, Emilio, de cambiar el color del punto central creo que haría más confusa la interpretación. El vie., 20 sept. 2019 a las 10:33, Carlos Ortega (<cof en qualityexcellence.es>) escribió: > Hola, > > Una alternativa que suele

I am trying to plot an interaction in a multilevel model. Here is some sample data. In the following example, it is longitudinal (i.e., repeated measures), so the outcome, score (at each of the three time points), is nested within the individual. I am interested in the interaction between gender and happiness predicting score. id <- c(1,1,1,2,2,2,3,3,3) age <-

Hello, I'm having a problem renaming and sorting the underlying factor of a ggplot2 based plot. Here's my code: ---8<---------- > delta <- ggplot(subset(data, Model==c("dyn", "dl4", "dl3")), aes(x=Problemsize, y=Fitness)) + geom_smooth(size=1, color="black", fill=alpha("blue", 0.2))+ geom_point(size=0.5,

I get the following error when I run qplot() qplot(grade, read,data = hhm.long.m, geom = c("point", "smooth")) Error in smooth.construct.cr.smooth.spec(object, data, knots) : x has insufficient unique values to support 10 knots: reduce k. I am not sure how to tackle this problem. When I take a subsample (< 1000) than I am able to run that function but with my sample

Is it possible to change the color/thickness of the summary line in an interaction.plot without changing the other individual data lines? I would like to make the line from the summary function (mean) the color red and thicker than the surrounding black lines. How can I do that? Here is a link to interaction.plot: http://stat.ethz.ch/R-manual/R-patched/library/stats/html/interaction.plot.html

so I am trying to get my R setup to run this users package. Any help would be great THANKS devtools::install_github(repo = "dadrivr/ffanalytics") I get this devtools::install_github(repo = "dadrivr/ffanalytics") Downloading GitHub repo dadrivr/ffanalytics at master from URL https://api.github.com/repos/dadrivr/ffanalytics/zipball/master Installing ffanalytics

You just need to READ the error messages and use Google. Don't try to install tcltk. The other two packages are not available through CRAN... they are Bioconductor packages. (Not supported here... use Google.) And learn to post plain text in the future to avoid scrambling what you thought you sent before we see it. Read the Posting Guide. -- Sent from my phone. Please excuse my brevity.

Hello All, I have plotted a scatter plot in ggplot2 and added a regression line and a regression equation. But the processing is very very slow. One reason might be because I have so many data pairs. Is there any way to speed up this code ? I need to create a multiple layout as well. The code I have used is as follows: setwd("C:/Users/jzd0009/Documents/R software") mydata <-

Thanks Jeff I got the Bioconductor packages installed and tried googling the 65535 tried some things and still get the same error. On Fri, Aug 18, 2017 at 10:59 AM, Jeff Newmiller <jdnewmil at dcn.davis.ca.us> wrote: > You just need to READ the error messages and use Google. > > Don't try to install tcltk. > > The other two packages are not available through CRAN...