search for: geom_ribbon

Hi everyone, it looks like geom_ribbon removes missing values and plots a single ribbon over the whole interval of x values. However, I'd rather want it to act like geom_line, that is, interrupt the ribbon for the interval of missing values and continue once there are new values. Here's an example: library(ggplot2) df <- dat...

Hi everyone, Hadley, it seems there's a bug in geom_ribbon() when using it in a log-scaled plot: d<-data.frame(x=c(1:20),y1=rnorm(20)+3,y2=rnorm(20)+5) p<-ggplot() p<-p+geom_ribbon(data=d,aes(x=d[["x"]],min=d[["y1"]],max=d[["y2"]])) p<-p+geom_line(data=d,aes(x=d[["x"]],y=d[["y1"]]),colour=&quot...

...linetype = "dashed", col = "royalblue") ``` Why there is a hole in the middle of the ribbon? and the color is not grey... On Fri, Oct 23, 2020 at 2:35 PM PIKAL Petr <petr.pikal at precheza.cz> wrote: > > Hi > > What about something like > > p+geom_ribbon(aes(ymin = slope_1*x + intercept_1 - 1/w[2], > ymax = slope_1*x + intercept_1 + 1/w[2], fill = "grey70", alpha=0.1)) > > Cheers > Petr > > > -----Original Message----- > > From: Luigi Marongiu <marongiu.luigi at gmail.com> > > Sent: Friday, October 2...

Hi Put fill outside aes p+geom_ribbon(aes(ymin = slope_1*x + intercept_1 - 1/w[2], ymax = slope_1*x + intercept_1 + 1/w[2]), fill = "blue", alpha=0.1) The "hole" is because you have two levels of data (red and blue). To get rid of this you should put new data in ribbon call. Something like newdat <- trainset n...

also from this site: https://plotly.com/ggplot2/geom_ribbon/ I get the answer is geom_ribbon but I am still missing something ``` #! plot p = ggplot(data = trainset, aes(x=x, y=y, color=z)) + geom_point() + scale_color_manual(values = c("red", "blue")) # show support vectors df_sv = trainset[svm_model$index, ] p = p + geom_point(data =...

Hi What about something like p+geom_ribbon(aes(ymin = slope_1*x + intercept_1 - 1/w[2], ymax = slope_1*x + intercept_1 + 1/w[2], fill = "grey70", alpha=0.1)) Cheers Petr > -----Original Message----- > From: Luigi Marongiu <marongiu.luigi at gmail.com> > Sent: Friday, October 23, 2020 11:11 AM > To: PIKAL Petr &...

...ary(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")+ ? theme_cowplot() 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 advice would be welcome. Thanks! Thomas Subia

...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 > advice would be welcome. This works for me: ggplot(scatter_data,aes(x=x_var,y=y_var,))+ geom_point()+ geom_smooth(se=TRUE,fill="blue",color="black",linetype="dashed") + geom_ribbon(stat="smooth", aes(ymin=after_...

...ll" not found). library(ggplot2) dummy <- data.frame(x = rep(1:10, 4), group = gl(4, 10)) dummy$y <- dummy$x * rnorm(4)[dummy$group] + 5 * rnorm(4)[dummy$group] dummy$min <- dummy$y - 5 dummy$max <- dummy$y + 5 ggplot(data = dummy, aes(x = x, max = max, min = min, fill = group)) + geom_ribbon() + geom_line(aes(y = max, colour = fill)) + geom_line(aes(y = min, colour = fill)) When I adjust the code to the line below, it works again. But this time with two legend keys for "group". Any idea how to display only one legend key for group? The ggplot-code aboved yielded only on lege...

.... So, something like this: rwl<-matrix(rnorm(800), nrow = 100) colnames(rwl) <- paste('V', 1:8, sep = '') rownames(rwl)<-c(1900:1999) rwl<-as.data.frame(rwl)) I have 2 specific things I'd like to do: 1) use stat_summary(), geom_line(), and either geom_smooth() or geom_ribbon() to plot the mean of the timeseries (e.g. V1:V8) and error bands or confidence limits around the mean for each year. I cannot figure out how to do this except for this really clunky way: rwl$year<-as.numeric(rownames(rwl)) h<-ggplot(rwl, aes(x=year)) h+ geom_line(aes(y=V1)) #plots one...

...t; ggplot(scatter_data,aes(x=x_var,y=y_var))+ > ? geom_point()+ > ? geom_smooth(se=TRUE,fill="blue",color="black",linetype="dashed")+ > ? theme_cowplot() > > 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 advice would be welcome. > > Thanks! > > Thomas Subia > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do...

I have 2 datafiles 'target' and 'observed' as shown below (I will gladly email these 2 small files to whomever). X25. And X75. Indicate the value of 25th and 75th-percentile of the target ('what should be') and the observed ('what is'). The i.value is simply the month. > target X i.value X25. X75. 1 one.month 1 10.845225 17.87237 2

Hi Did you try google? I got several answers using your question e.g. https://stackoverflow.com/questions/54687321/fill-area-between-lines-using-g gplot-in-r Cheers Petr > -----Original Message----- > From: R-help <r-help-bounces at r-project.org> On Behalf Of Luigi Marongiu > Sent: Friday, October 23, 2020 9:59 AM > To: r-help <r-help at r-project.org> > Subject:

Hello, I am running SVM and showing the results with ggplot2. The results include the decision boundaries, which are two dashed lines parallel to a solid line. I would like to remove the dashed lines and use a shaded area instead. How can I do that? Here is the code I wrote.. ``` library(e1071) library(ggplot2) set.seed(100) x1 = rnorm(100, mean = 0.2, sd = 0.1) y1 = rnorm(100, mean = 0.7, sd =

Dear R-helpers, the problem I'm facing today is to convince lattice to paint some areas in gray. The areas I would like to have in gray, are confidence bands I've googled around in the mailing list archives and eventually find some clues. This link is my starting point http://tolstoy.newcastle.edu.au/R/e2/help/07/04/15595.html I'm reproducing here the code for your convenience est

Hi, I'm really struggling with barplot I have a data.frame with 3 columns. The first column represents an "incident" type The second column represents a "month" The third column represents a "time" Code for a sample data.frame incidents <- rep(c('a','b','d','e'), each =25) months <- rep(c(1,2), each =10) times

Consider the following situation: we have quantified algal concentrations for a variety of species using many samples at each of three years. It seems to make sense to generate a line plot (matplot-like), with each species plotted as a separate line, with the points connected to emphasize the temporal pattern. The problem: lots of overlapping error bars. The question: from both a

AF_E PS_E 90.838 2.206 83.139 1.751 134.272 3.710 84.043 2.076 105.184 2.788 157.249 3.783 50.280 1.027 96.973 2.355 123.582 3.398 60.417 1.236 123.501 3.315 90.128 1.566 193.783 5.167 116.036 2.994 100.289 2.216 56.943 1.106 102.272 2.692 145.579 3.810 53.105 1.202 127.212 3.061 102.838 2.383 126.352 2.723 13.661 0.190 164.352 4.870 159.945 4.160 54.382 0.884 128.253 3.598 181.208 4.767 145.118

...his) * can now pass position objects to qplot * y jitter calculated correctly, and jittered data rescales axis now * removed silly legend from quantile plot * extra arguments not being passed on to geoms/stats * fixed bug in stat_summary when summarising a factor * fixed bugs in stat_summary, geom_ribbon, and coord_trans examples _______________________________________________ R-packages mailing list R-packages at stat.math.ethz.ch https://stat.ethz.ch/mailman/listinfo/r-packages

...his) * can now pass position objects to qplot * y jitter calculated correctly, and jittered data rescales axis now * removed silly legend from quantile plot * extra arguments not being passed on to geoms/stats * fixed bug in stat_summary when summarising a factor * fixed bugs in stat_summary, geom_ribbon, and coord_trans examples _______________________________________________ R-packages mailing list R-packages at stat.math.ethz.ch https://stat.ethz.ch/mailman/listinfo/r-packages