search for: adjustcolor

I have two chromatograms I want plotted on the same axes. I would like the plots to be transparent, so the first chart is not obscured. I have tried adjustcolor(..., alpha.f=0.3), the problem is that my chromatogram is so dense with datapoints that they overlap and the entire graph just ends up a solid color. The second histogram still obscures the first. Consider this example: col1 <- adjustcolor("red", alpha.f=0.3) col2 <- adjustcolor...

...of xx <- seq(x[1], x[length(x)], length.out = 1024) rnx <- extendrange(x) ## to extrapolate a bit xx <- do.call(seq.int, c(rnx, list(length.out = 1200))) cbind(f = f(xx), sspl = predict(m.sspl, xx)$y, mars = predict(fm1, xx)) -> fits plot(x,y, xlim=rnx, cex = 1/4, col = adjustcolor(1, 1/2)) cols <- c(adjustcolor(2, 1/3), adjustcolor(4, 2/3), adjustcolor("orange4", 2/3)) lwds <- c(3, 2, 2) matlines(xx, fits, col = cols, lwd = lwds, lty=1) legend("topleft", c("true f(x)", "smooth.spline()", "earth()"),...

...gth.out = 1024) > rnx <- extendrange(x) ## to extrapolate a bit > xx <- do.call(seq.int, c(rnx, list(length.out = 1200))) > > cbind(f = f(xx), > sspl = predict(m.sspl, xx)$y, > mars = predict(fm1, xx)) -> fits > > plot(x,y, xlim=rnx, cex = 1/4, col = adjustcolor(1, 1/2)) > cols <- c(adjustcolor(2, 1/3), > adjustcolor(4, 2/3), > adjustcolor("orange4", 2/3)) > lwds <- c(3, 2, 2) > matlines(xx, fits, col = cols, lwd = lwds, lty=1) > legend("topleft", c("true f(x)", "smooth.spline...

How can I do automatic knot selection while fitting piecewise linear splines to two variables x and y? Which package to use to do it simply? I also want to visualize the splines (and the scatter plot) with a graph. Anupam [[alternative HTML version deleted]]

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)) > points(1:8,rep(0.5,8),col=cb8,pch=19,cex=2) > p...

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=adj...

...ry Utah State University 8200 Old Main Hill Logan, UT 84322-8200 david.stevens at usu.edu (435) 797-3229 (office) On 7/23/2023 1:00 PM, Nick Wray wrote: > 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)) >> points(1:8,rep(0.5,8),col=cb8...

...type = "h") Cheers, B. > On 2018-05-31, at 16:56, Ed Siefker <ebs15242 at gmail.com> wrote: > > I have two chromatograms I want plotted on the same axes. > I would like the plots to be transparent, so the first chart is > not obscured. > > I have tried adjustcolor(..., alpha.f=0.3), the problem is that > my chromatogram is so dense with datapoints that they > overlap and the entire graph just ends up a solid color. The > second histogram still obscures the first. > > Consider this example: > > > col1 <- adjustcolor("red&qu...

...alette.colors(8, alpha = 0.3) or more explicitly palette.colors(8, palette = "Okabe-Ito", alpha = 0.3) On Sun, 23 Jul 2023, Nick Wray wrote: > 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)) >> points(1:8,rep(0.5,8),col=cb8,...

Note that I sent this to r-devel, yesterday. However, it didn't appear on the mailing list. So, I'm resending it. Today, I plotted the following: > filled.contour (,,z, color.palette=terrain.colors) It looked OK, in R. However, when I created a PDF document, the plot (and other similar plots) had grid (and other) lines in it, that shouldn't be there. Note that this problem is more

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

...op = c(34, 39, 42, 45, 46, 41, 41, 40, 43, 38, 33, 33) Bottom = c(24, 29, 32, 36, 32, 34, 32,41, 40, 39, 29, 24) plot(1,1, col = "white", xlim = c(1.3,11.7), ylim = c(0,80), axis = FALSE, xaxt = "n") axis(1, at = c(1:12)) polygon(c(c(1:12),c(12:1)), c(top, bottom), col = adjustcolor("#33a02c",alpha.f = 0.7) ,border = "#33a02c", lty = 4, density = 80, angle = 180) I would like the hatched lines to all go in the same direction (parallel to the x-axis) so that I can layer another polygon on top with perpendicular hatches and you will be able to differentiate...

Tena koe Simon plot(1:10, 1:10, type='n') polygon(c(2,3,6,8), c(2,5,5,3), density=20, angle=90) polygon(c(2,3,6,8), 5+c(2,5,5,3), density=20, angle=0) I don't understand your problem. Perhaps if you "provide[d] commented, minimal, self-contained, reproducible code" it would help. HTH .... Peter Alspach -----Original Message----- From: R-help [mailto:r-help-bounces at

Dear R-devel, I think I've found a bug - the alpha transparency doesn't work when plotting lines with xpd = TRUE. #works plot(1:20, col="#1874CD", xpd=T, type="l") #works plot(1:20, col="#1874CD50", xpd=F, type="l") #doesn't work plot(1:20, col="#1874CD50", xpd=T, type="l") Thank you. Jim [[alternative HTML version

...p 4 R <- if(n == 2) 2L else 3L slope <- (m_y[[R]] - m_y[[1]]) / (m_x[[R]] - m_x[[1]]) intercept <- m_y[[1]] - slope * m_x[[1]] ## Step 5 mid_y <- intercept + slope * m_x[[2]] intercept <- intercept + (m_y[[2]] - mid_y) / 3 if(plot.) abline(a = intercept, b = slope, col=adjustcolor("midnight blue", .5), lwd=2) c(intercept = intercept, slope = slope) } ## To test it, here's the second example from that page: dfr <- data.frame( time = c( .16, .24, .25, .30, .30, .32, .36, .36, .50, .50, .57, .61, .61, .68, .72, .72,...

I have a diagram to be included in latex, where all my figures are .eps graphics (so pdflatex is not an option) and I want to achieve something like the following: three concentric filled circles varying in lightness or saturation. It is easiest to do this using transparency, but in my test using the postscript driver, the transparent color fills do not appear. Is it correct that postscript()

I am trying to use the angle option in polygon to create polygons filled with horizontal and vertical lines. The polygons I am crating are irregular and it the angle function appears to set the angle of the shading perpendicular to the polygon sides rather than perpendicular to the axes. Is there any way to set the angle relative to the axes rather than relative to the polygon sides?

Here is an attached patch. Best, Serguei. Le 29/05/2017 ? 12:21, Serguei Sokol a ?crit : > The problem or actual R implementation relies on an assumption > that median(x[i] | x[i] <= quantile(x, 1/3)) == quantile(x, 1/6) > which reveals not to be true despite very trustful appearance. > > If we continue with the example of x=y=1:9 > then quantile(x, 1/6)=2.5 (here quantile()

...ather than the previous default of na.omit. Predictions from "loess" fits are now named from the row names of newdata. ? Parsing errors detected during Sweave() processing will now be reported referencing their original location in the source file. ? New adjustcolor() utility, e.g., for simple translucent color schemes. ? qr() now has a trivial lm method with a simple (fast) validity check. ? An experimental new programming model has been added to package methods for reference (OOP-style) classes and methods. See ?ReferenceCl...

...ather than the previous default of na.omit. Predictions from "loess" fits are now named from the row names of newdata. ? Parsing errors detected during Sweave() processing will now be reported referencing their original location in the source file. ? New adjustcolor() utility, e.g., for simple translucent color schemes. ? qr() now has a trivial lm method with a simple (fast) validity check. ? An experimental new programming model has been added to package methods for reference (OOP-style) classes and methods. See ?ReferenceCl...