similar to: Choosing colours for lines in ggplot2

Does adjustcolor() help? cb8<- c("#000000", "#E69F00", "#56B4E9", "#009E73","#F0E442", "#0072B2", "#D55E00", "#CC79A7") plot(0,0,xlim=c(1,8),ylim=c(0,1)) points(1:8,rep(0.5,8),col=cb8,pch=19,cex=2) points(1:8,rep(0.75,8),col=adjustcolor(cb8, alpha.f = 0.3), pch=19,cex=2) On 2023-07-23 2:15 p.m., Nick Wray

Thanks That works nicely Nick On Sun, 23 Jul 2023 at 19:26, Ben Bolker <bbolker at gmail.com> wrote: > Does adjustcolor() help? > > cb8<- c("#000000", "#E69F00", "#56B4E9", "#009E73","#F0E442", "#0072B2", > "#D55E00", "#CC79A7") > plot(0,0,xlim=c(1,8),ylim=c(0,1)) >

Hello I have a palette vector of colour blind colours (in hexadecimal) which I?m using for plots, but they are not see-through, and as I wanted to overlay some histograms I wanted to convert these colours to rgb, when you can set the opacity. I have found the function col2rgb(), which works in the sense that it gives a vector of numbers but these don?t work directly in rgb because they are too

Just one addition which may or may not be useful: The color palette you use is also known as "Okabe-Ito" and it is the default set of colors in the palette.colors() function. This function also has an optional alpha argument. So if you want to generate these colors with an alpha of 0.3 you can also do: palette.colors(8, alpha = 0.3) or more explicitly palette.colors(8, palette =

Nick, I've also made colors transparent by pasting the hex equivalent of, say, 0.3*256 = 76.9 to the hex color code. e.q. for black it might be "#0000004d" and the 4d is 77 in hex. That way you don't need to convert back and forth so much. If col is "#000000" the transparent version is tcol <- paste0(col,"4d") This would work in one step on a whole

On 12.07.2017 12:35, Shanu Singh wrote: > Hi John, > > Thanks for reply ! Sorry It was my mistake. It is *cbPalette. *Basically > its a R package. Come on. - Where do you want to get thsi from? - What have you tried to do so? Please re-read the posting guide that helps to ask good questions. Best, Uwe Ligges > > > Shanu > > On Wed, Jul 12, 2017 at 3:57 PM, John

Dear list, I am facing an unusual situation where I need to create two sets of legends based on the color mapping. Can't get exactly what I want and really appreciate any advice from ggplot experts. Let's say I have the first dataset "df1" that draws some points and based on which a "loess" line with confidence interval is added. Then the second dataset

?s 17:43 de 18/07/2024, Rui Barradas escreveu: > ?s 16:27 de 18/07/2024, SIBYLLE ST?CKLI via R-help escreveu: >> Hi >> >> I am using ggplot to visualise y for a two-factorial group (Bio: 0 and >> 1) x >> = 6 years. I was able to adapt the colour of the lines (green and red) >> and >> the linetype (solid and dashed). >> Challenge: my code

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 = df_sv, aes(x=x, y=y),

I'm designing a set of plots intended for a general audience; here's the code for one of them, using the latest version of ggplot: plot.enr.all <- ggplot(data=df1, aes(x=HS_GRAD_YEAR, y=Percentage, group=Enrolled_by, color=Enrolled_by, shape=Enrolled_by, fill=Enrolled_by)) + geom_line() + geom_point(size=3.5) + scale_y_continuous(breaks=seq(0, 100, 10),

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

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

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 <petr.pikal at precheza.cz> > Cc: r-help

Thank you, but this split the area into two and distorts the shape of the plot. (compared to ``` p + geom_abline(slope = slope_1, intercept = intercept_1 - 1/w[2], linetype = "dashed", col = "royalblue") + geom_abline(slope = slope_1, intercept = intercept_1 + 1/w[2], linetype = "dashed", col = "royalblue") ``` Why there

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 =

?s 16:27 de 18/07/2024, SIBYLLE ST?CKLI via R-help escreveu: > Hi > > I am using ggplot to visualise y for a two-factorial group (Bio: 0 and 1) x > = 6 years. I was able to adapt the colour of the lines (green and red) and > the linetype (solid and dashed). > Challenge: my code produces now two legends. One with the colors for the > group and one with the linetype for the

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:

Thanks Ben, Here the reproducible example. It works without notch=TRUE, but provides an error with notch=TURE Error in `geom_boxplot()`: ! Problem while converting geom to grob. ? Error occurred in the 1st layer. Caused by error in `ans[ypos] <- rep(yes, length.out = len)[ypos]`: ! replacement has length zero Run `rlang::last_trace()` to see where the error occurred. Warning message: In

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 newdat$z <- factor(0) p+geom_ribbon(data=newdat, aes(ymin =

A stupid question but does anyone know how to express the actual colours used by the main Canadian political parties? I want to do a couple of ggplot2 plots and have lines or rectangles that accurately reflect the party colours. I can probably play around with RColorBrewer or something to figure it out but if some some already has got them it would save me some time especially with the NDP