search for: scale_colour_manual

...p(direction="hv", size=3.0)+ scale_y_continuous("Rates of initiating first orientation flight", limits=c(0,0.6), expand=c(0,0), breaks=c(0,0.2,0.4,0.6)) + scale_x_continuous("Age of adults (days)", limits=c(0,16), expand=c(0,0), breaks=c(5, 10, 15)) + scale_colour_manual(name="Group", breaks=c('ace', 'ctrlAM','met'), labels=c("acetone", "untreated","methoprene"), values=c("black","grey","red"))...

...all, I was trying to draw a stacked density plot like that : library(ggplot2); library(plyr) dat <- cbind(rnorm(300), rep(c(1,2), each=150)) ggplot() + geom_density(aes(x=dat[,1], fill=factor(dat[,2]), position="stack")) + xlab("") + ylab("") + scale_colour_manual(name = "Pallet", labels = c("X", "Y")) Here everything is ok, except few points : 1. I want to remove the name of y-axis, which is by default "density". Here I put ylab(""), however although for x-axis it is working, for y-axis it is not. Is there...

According to Hadley's ggplot book (p. 109), both the graphs below should have a legend, and yet none appears in my hands. Any suggestions? I can't see a typo. Is there a bug? library(ggplot2) data(LakeHuron) huron = data.frame(year=1875:1972,level=LakeHuron) p = ggplot(huron, aes(year)) + geom_line(aes(y= level - 5), colour = 'blue') + geom_line(aes(y= level + 5), colour

...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]]

...ing the secondary axis, following the example in the help file ?scale_y_continuous # and, very important, reverting the above transformation p <- p + scale_y_continuous(sec.axis = sec_axis(~.*5, name = "Relative humidity [%]")) # modifying colours and theme options p <- p + scale_colour_manual(values = c("blue", "red")) p <- p + labs(y = "Air temperature [?C]", x = "Date and time", colour = "Parameter") p <- p + theme(legend.position = c(0.8, 0.9)) p ######## Thanks, John [[alternative HTML...

...eom_line(aes(y = air_temp, colour = "Temperature", linetype ="Temperature")) p <- p + geom_line(aes(y = rel_hum/5, colour = "Humidity", linetype="Humidity")) p <- p + guides(colour=guide_legend(override.aes=list(linetype=override.linetype))) p <- p + scale_colour_manual(values = c("blue", "red")) p <- p + scale_linetype_manual(values = c("twodash", "solid"),guide=FALSE) p I searched for help and used the info I found at this link: https://stackoverflow.com/questions/37140266/how-to-merge-color-line-style-and-shape-legend...

...;- ifelse(MyData$D_GW_Elv ==1, "Detected", "NonDetect") #Removes the NAs MyDataWONA <- MyData[!is.na(MyData$Detections), ] #does the plot p <- ggplot(data = MyDataWONA, aes(x=Year, y=GW_Elv , col=Detections)) + geom_point(aes(shape=Detections)) + ##sets the colors scale_colour_manual(values=c("black","red")) + #scale_y_log10() + #location of the legend theme(legend.position=c("right")) + #sets the line color, type and size geom_line(colour="black", linetype="dotted", size=0.5) + ylab("Elevation Feet Mean Sea Lev...

Hello Friends, I am new to R and stuck with a problem. i have two columns drug_A and drug_B, i have plotted a scatter plot using the ggplot2 function. My problem is with the third column, it is the p-value column. I want to color and size points differently based on the p_value, the p_value range is between 0<0.0001< 0.001<0.05<1. I used a script using the ifelse loop, but it

...r)) p2 <- p + geom_line(size = 1) # + opts(title = plotName) p2 <- p2 + facet_grid(Facet~., scales = 'free') + # p2 <- p2 + geom_text(data = dframe[dframe[,'date'] == '1941-06-16',], # aes(date, value, label = lineNames, vjust = 1)) + scale_colour_manual(values = colors) } finalP <- withNames(data, plines, pTitle, col1) #finalP <- simple(data) [[alternative HTML version deleted]]

...the example in the help file > ?scale_y_continuous > # and, very important, reverting the above transformation > p <- p + scale_y_continuous(sec.axis = sec_axis(~.*5, name = "Relative > humidity [%]")) > > # modifying colours and theme options > p <- p + scale_colour_manual(values = c("blue", "red")) > p <- p + labs(y = "Air temperature [?C]", > x = "Date and time", > colour = "Parameter") > p <- p + theme(legend.position = c(0.8, 0.9)) > p > ######## > &gt...

...78, 22.49, 21.85, 22.2) df <- data.frame(Conc = A, Time = B, Value = V) df$Conc = as.factor(df$Conc) df$Time = as.factor(df$Time) library(ggplot2) ggplot(df, aes(x=Time, y=Value, colour=Conc, group=Conc)) + geom_line() + scale_y_reverse(limits = c(20,30)) + geom_point(size=6) + scale_colour_manual(values = COLS) > Warning messages: 1: Removed 15 rows containing missing values (`geom_line()`). 2: Removed 15 rows containing missing values (`geom_point()`). ```

...ame(Conc = A, Time = B, Value = V) > df$Conc = as.factor(df$Conc) > df$Time = as.factor(df$Time) > library(ggplot2) > > ggplot(df, aes(x=Time, y=Value, colour=Conc, group=Conc)) + > geom_line() + > scale_y_reverse(limits = c(20,30)) + > geom_point(size=6) + > scale_colour_manual(values = COLS) The limits should be `c(30,20)`. Duncan Murdoch

...quot;, xlab="Days of Follow-up", ylab="Daysto First AR") + geom_smooth(aes(group=bos2), method='rlm', fill=alpha("grey", 0.4)) + scale_shape(solid=FALSE,name="BOS\nFalse = 0\nTrue = 1") + scale_size_identity() + facet_grid(bos2 ~ ., margins=TRUE) +scale_colour_manual(name="BOS\nFalse = 0\nTrue = 1", values=c("blue", "purple"))) grid.gedit(gPath("strip","label"),gp=gpar(fontsize="14", col="red")) @ I am unable to get the plot with the modified strip labels to be included. It is created as th...

...Wickman (2009, ggplot2 - elegant graphics for data analysis, page 109) library(ggplot2) huron <- data.frame(year=1875:1972, level=LakeHuron) ggplot(huron, aes(year)) + geom_line(aes(y=level+5, colour="above")) + geom_line(aes(y=level-5, colour="below")) + scale_colour_manual("Direction", c("above"="black", "below"="black")) Thanks, Edwin Changyou Sun, Ph.D. Associate Professor Natural Resource Policy & Economics Box 9681, Department of Forestry Mississippi State University Mississippi State, MS 3...

1. Is it possible to set the point colors in a ggplot2 theme? For example, to default to these colors: scale_colour_manual(value = c("red", "orange", "yellow", "green", "blue") 2. Is it possible to set this theme in .Rprofile, similar to: my.lattice.colors = function () { .......etc.....} options(lattice.theme=".mw.lattice.colors") -- Kevin Wright [[alte...

...the legend to match the stacked colors of the bar plot. I tried this, but it didn't work. colors <- c("5" = "red","4" = "blue","3" = "darkgreen") p <- qplot(factor(cyl), data=mtcars, geom="bar", fill=factor(gear)) p + scale_colour_manual(name = "gear",values = colors,breaks = c("5","4","3"),labels = c("5 speed","4 speed","3 speed")) http://n4.nabble.com/file/n1689526/plot.jpeg -- View this message in context: http://n4.nabble.com/GGPLOT2-Reverse-order-of-legen...

...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

Hi everyone, I'm trying to create a scatterplot (with ggplot2) with different groups and a faceting (see code below... much clearer I think) But when I want to change the color label to something else using the scale_colour_manual function (based on http://had.co.nz/ggplot2/scale_manual.html), it seems impossible to get what I want. Instead I receive a nice error message. But the code will speak for itself if my request doesn't seem clear enough to you guys. Code: > g<- ggplot(data=d, aes(x=Xcontinuous,y=Ycont...

...ls(df$Time) = c(1, 4, 24) > > df$Conc <- as.factor(df$Conc) > > levels(df$Conc) = c(1, 2, 5) > > library(ggplot2) > > ggplot(df, aes(x=Time, y=Value, colour=Conc)) + > > geom_point(size=6) + > > geom_line(aes(x=Time, y=Value, colour=Conc)) + > > scale_colour_manual(values = c("darkslategray3", "darkslategray4", > > "deepskyblue4")) + > > ggtitle("Working example") + > > xlab(expression(bold("Time (h)"))) + > > ylab(expression(bold("Concent...

...;, "NonDetect") > > #Removes the NAs > MyDataWONA <- MyData[!is.na(MyData$Detections), ] > > #does the plot > p <- ggplot(data = MyDataWONA, aes(x=Year, y=GW_Elv , col=Detections)) + > geom_point(aes(shape=Detections)) + > > ##sets the colors > scale_colour_manual(values=c("black","red")) + #scale_y_log10() + > > #location of the legend > theme(legend.position=c("right")) + > > #sets the line color, type and size > geom_line(colour="black", linetype="dotted", size=0.5) + > yla...