search for: scale_

.... I know that I need to create a loop here, but as a newbie to R, I don't know how to write the correct loop that will work for me. Any suggestions?? Here is the code I have been using (less the numerous if...else attempts): > J <- 12 > r_ <- 1.959 > q_ <- 1.45 > scale_ <- 0.3 > N <- 500 > fq <- seq(0, N, 1) > center_frequencies <- function(J = 12, r_ = 1.959, q_ = 1.45, scale_ = 0.3){ + j <- seq(0,J-1,1) + fc <- (q_ + j)^r_/scale_ + } > fc <- center_frequencies(12,r_,q_,scale_) > cf <- t(fc) > lambda <- functi...

Hi, I'm drawing two histograms in the same plot.However, my point of comparison is the difference in their x coordinates.But my problem is one histogram is much taller than the other.How can I get them both to the same height? -- Rajesh.J [[alternative HTML version deleted]]

...o produce some graphics that will be part of my master's thesis. Here's what I would like to do here, (attached is an example of how far I've gotten). I'm working on mapping the values of several different parameters for each station in my study. So far I've been working with scale_color_gradientn to handle the coloring. What I would like to do is rather than have a smooth color gradient, I would like make the values between A and B a set color, between B and C another color, and so on. That's where I'm having an issue, because the values are all continuous data, and...

...lt;- data.frame(Y=rnorm(1000, mean=3)) xy <- cbind(x, y) g <- ggplot(xy) g + geom_histogram(aes(x=X), colour="black", binwidth = 0.1, fill = alpha("red", .5)) + geom_histogram(aes(x=Y), colour="black", binwidth = 0.1, fill = alpha("blue", .5)) + scale_fill_manual("Case", values = alpha(c("red","blue"), 0.5), limits=c("A", "B")) + opts(title = "A & B distributions") + xlab("Value") The plot is just what I want and looks gorgeous on my screen. However the legend boxe...

...ed")+stat_quantile(quantiles=c(0.90),col="blue",size=2) I like to add legend indicating the information of "thick-blue line = 90% line" & "thin-red line = 50% line". Of course, I hope this legend should have same visual line with the plot. I tried to use 'scale_colour_manual' function, but it did not work. Could anyone give a advice for me? - YNK [[alternative HTML version deleted]]

Hi, I am new to R and this is probably a very basic question but I can?t seem to figure out a solution. I am creating a stacked ggplot with the following data and code: PercentageData.csv looks like this: decision treatment percentage labtreatment defect 0 53.49 COMMON defect 1 78.00 ASYMMETRIC defect 2 96.67 PRIVATE coop 0 46.51 COMMON coop 1 22.00 ASYMMETRIC coop 2 3.33 PRIVATE %Load data:

...gplot in use. ggplot 0.5.7 ---------------------------------------- New geoms, scales and aesthetics * stat_step and geom_step to draw staircase plots (like plot(type="s")) * order aesthetic (currently only for lines/paths) allows you to control the drawing order within a group * scale_manual makes it easier to let ggplot uses the exact colours/sizes/linetypes that you want * scale_reverse allows you to reverse the scale of x and y axes * scale_grey is a new black and white scale for categorical data (colour and fill) Improved options handling * new function opts() to all...

...gplot in use. ggplot 0.5.7 ---------------------------------------- New geoms, scales and aesthetics * stat_step and geom_step to draw staircase plots (like plot(type="s")) * order aesthetic (currently only for lines/paths) allows you to control the drawing order within a group * scale_manual makes it easier to let ggplot uses the exact colours/sizes/linetypes that you want * scale_reverse allows you to reverse the scale of x and y axes * scale_grey is a new black and white scale for categorical data (colour and fill) Improved options handling * new function opts() to all...

Hi there, I am having a little problem with combining three scale_manual commands in a facet plot. I am not able to combine the three different characteristics, instead ending up with three different descriptions next to the graph for the same geom. I would like to see two separate labels (not three); one describing lines 1-7 and the other 8-14. For each of the...

...ames(m) <- paste('V', 1:5, sep = '') b <- data.frame(site = factor(rep(c('A', 'B', 'C', 'D', 'E'), each = 12)), status = factor(rep(rep(c('D','L'), each = 3), 10)), as.data.frame(m)) qplot(V2, V1, data=b, shape=status) + scale_shape_manual(value=c(1,16)) +facet_wrap(~site,nrow=2) What I would like to do is keep the 2 row shape, keep the order (A,B,C) of the top plots, but have the D and E panels in this example align under the B and C plots. Is this possible using qplot? Many thanks, Ali --Forwarded Message Attachm...