search for: scale_colour_brew

Hello, R friends,   I'm trying to change colors of my horizontal bars so that they show a sequence. I chose the ColorBrewer palette "Blues". However the resulting plot doesn't show any changes to the default. I tried several places of "+ scale_colour_brewer(type="seq", pal = "Blues")" with no effect. This is my code:   p <- ggplot(data, aes(x = gender))  + scale_y_continuous("",formatter="percent") + xlab("Gender") + coord_flip() +     scale_colour_brewer(type="seq", pal = "Blu...

Hi, I am using ggplot2 to with the following code: gmathk2 <- qplot(time,math,colour=Kids,data=kids.ach.lm.k5,geom="smooth",method="lm",formula=y~ns(x,1)) + opts(title="Smoother Plot: Math K-5") + xlab("Time") + ylab("Math") + scale_colour_brewer(pal="Set1"); gmathk2 This plots all the smoother for all the x values. What I'd like to do is plot the smoother for the x values that are only greater than or equal to 0. I don't want this: gmathk2 <- qplot(time,math,colour=Kids,data=kids.ach.lm.k5,geom="smooth",m...

..., I want to change the order of default linetype. I want to put "solid" line in fourth. How can I do thses? R code to draw the graph is qplot(variable, power, data = m.powers, colour = method, linetype=method, ylab = "Power") + geom_line(aes(group = method), ylim = c(0,1)) + scale_colour_brewer(palette="Set1") Thank you,

Hi, I am running the following code: mfg0 <- ggplot(aes(x=Grade,y=Math,colour=RiskStatic45678),data=math.f) mfg1 <- mfg0 + geom_smooth(method="lm", formula=y ~ ns(x,2),size=1) + geom_smooth(aes(y=nalt.math,color="NALT"),size=1,data=nalt) + scale_colour_brewer("Risk Status", pal="Set1") + coord_cartesian(ylim = c(175, 245)) mfg1 And when I specify that, the only value that shows up on the Y-axis is a '200'. How can I manually specify that I want 180, 200, 220, and 240 to show up? Also please cc me on the email as I am a...

...uot;blue", k = "green", l = "orange", m = "red", n = "blue", o = "green", p = "orange" ) pie1 <- ggplot(mypie, aes(x = factor(zz), fill = factor(zz))) + geom_bar(width = 1) pie2 <- pie + coord_polar(theta = "x") + scale_colour_brewer(Pastel1) pie2 # try to get even nastier piechart with ugly colours to provide rast. pie3 <- pie2 + scale_colour_manual(value=mycolours) pie

...))) +? geom_smooth (aes(fill=Distance), show_guide=TRUE, method="lm", colour='black', n=20, size=0.3) + ? scale_y_continuous ("Distance from source, km", limits=c(-500,10000), labels=function(x){x/1000}) +? scale_x_continuous ("Time, seconds", limits=c(0,2)) +? scale_colour_brewer("Distance between cars, m", palette="Dark2", guide = "none") +? scale_fill_brewer("Distance between cars, m", palette="Dark2") +? scale_linetype_manual("Distance between cars, m", values=c(1,2,3,4,5,6,7,8)) +? theme_custom () +? theme (l...

...pecial names (`x x`) * fullseq: now always returns vector of length two, even when range is 0 * geom_point legend takes more care to ensure that fill colours will be shown * legend: fixed scale merging bug when labels were set manually * scale_area: gains a legend argument like all other scales * scale_colour_brewer: gains na.colour argument to set colour of missing values * stat_bin2d: fix typo in breaks calculation * stat_bin: deals with floating point rounding issues using the same algorithm as base::hist * stat_density2d: fixed bug when contour = FALSE (Thanks to Takahashi Kohske) -- Assistant Pro...

Dear r-helpers, I'm using ggplot2::ggplot to plot seven time series on the same graph. c <- ggplot(jobm, aes(y = value, x = year, colour = kind)) c + stat_smooth() This gives me a legend with colors that are not very different. Can I label the lines instead? How? _____________________________ Professor Michael Kubovy University of Virginia Department of Psychology USPS: P.O.Box

...pecial names (`x x`) * fullseq: now always returns vector of length two, even when range is 0 * geom_point legend takes more care to ensure that fill colours will be shown * legend: fixed scale merging bug when labels were set manually * scale_area: gains a legend argument like all other scales * scale_colour_brewer: gains na.colour argument to set colour of missing values * stat_bin2d: fix typo in breaks calculation * stat_bin: deals with floating point rounding issues using the same algorithm as base::hist * stat_density2d: fixed bug when contour = FALSE (Thanks to Takahashi Kohske) -- Assistant Pro...

Hello list, ## I have been doing the following process to convert data from one form to another for a while but it occurs to me that there is probably an easier way to do this. I am often given data that have column names which are actually data and I much prefer dealing with data that are sorted by factors. So to convert the columns I have previously made use of make.groups() in the lattice

...change the default scale for an aesthetic, just create a function called `scale_aesthetic_continuous` or `scale_aesthetic_discrete` that returns the scale that you want. For example: p <- qplot(mpg, wt, data = mtcars, colour = factor(cyl)) p scale_colour_discrete <- scale_colour_brewer p * Scales now automatically shrink to what is actually displayed on the plot, not the underlying data used for statistical transformation. If you want the old behaviour, supply `shrink = FALSE` to the facetting specification. (Fixes #125) * `scale_colour_gradient` and `scale_fill_g...

...change the default scale for an aesthetic, just create a function called `scale_aesthetic_continuous` or `scale_aesthetic_discrete` that returns the scale that you want. For example: p <- qplot(mpg, wt, data = mtcars, colour = factor(cyl)) p scale_colour_discrete <- scale_colour_brewer p * Scales now automatically shrink to what is actually displayed on the plot, not the underlying data used for statistical transformation. If you want the old behaviour, supply `shrink = FALSE` to the facetting specification. (Fixes #125) * `scale_colour_gradient` and `scale_fill_g...