search for: stat_quantil

Hi, all. I'd like to add legend on my graph but I can't. My code is follows. library(ggplot2) score1<-rnorm(100,0,5) score2<-rnorm(400,10,15) mydata<-data.frame(score1,score2) ggplot(mydata,aes(y=score2,x=score1))+geom_point()+stat_quantile(quantiles=c(0.50),col="red")+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...

Hi Michael, I am trying the solution you've suggested below: DAT <- data.frame(x = runif(1000, 0, 20), y = rnorm(1000)) DAT$xbin <- with(DAT, cut(x, seq(0, 20, 2))) p <- ggplot(DAT, aes(x = x, y = y)) + geom_point(alpha = 0.2) + stat_quantile(aes(colour = ..quantile..), quantiles = seq(0.05, 0.95, by=0.05)) + facet_wrap(~ xbin, scales = "free") print(p) ----------------------- But my big problem is: I don't know how to modify the code above to do it for "equal # of points" in each bin along the x-axis? i.e. th...

...n about what functions return * documentation now lists extra variables created by statistics Bug fixes: * coord_flip now works with segment and all interval geoms * geom_errorbar now works in all coordinate systems * derived y axes (eg. on histogram) are now labelled correctly * fixed bug in stat_quantile caused by new output format from predict.rq * fixed bug if x or y are constant * fixed bug in histogram where sometimes lowest bar was omitted * fixed bug in stat_qq which prevent setting aesthetics * fixed bug in qplot(..., geom="density", position="identity") * fixed sta...

...and so legends were not getting merged correctly * stat_contour: fix error if x or y coordinates were negative * stat_bin: now copes with bars of zero height (Fixes #72) * stat_qq: always use sorted data (rather than interpolated quantiles) on sample axis. This makes it behave more like qqnorm * stat_quantile: correctly group results * xlim now works with datetimes * all plyr functions prefixed with their namespace to avoid clashes with other packages (thanks to Steve Lianoglou) -- Assistant Professor / Dobelman Family Junior Chair Department of Statistics / Rice University http://had.co.nz/ ______...

...n about what functions return * documentation now lists extra variables created by statistics Bug fixes: * coord_flip now works with segment and all interval geoms * geom_errorbar now works in all coordinate systems * derived y axes (eg. on histogram) are now labelled correctly * fixed bug in stat_quantile caused by new output format from predict.rq * fixed bug if x or y are constant * fixed bug in histogram where sometimes lowest bar was omitted * fixed bug in stat_qq which prevent setting aesthetics * fixed bug in qplot(..., geom="density", position="identity") * fixed sta...

...and so legends were not getting merged correctly * stat_contour: fix error if x or y coordinates were negative * stat_bin: now copes with bars of zero height (Fixes #72) * stat_qq: always use sorted data (rather than interpolated quantiles) on sample axis. This makes it behave more like qqnorm * stat_quantile: correctly group results * xlim now works with datetimes * all plyr functions prefixed with their namespace to avoid clashes with other packages (thanks to Steve Lianoglou) -- Assistant Professor / Dobelman Family Junior Chair Department of Statistics / Rice University http://had.co.nz/ ______...

Hello, I'm currently using a simple plot to visualize some mean values. I'm having ~200 datapoints on the x-axis, each has 10 records. I'm currently plotting only the mean value of each of the datapoints. What I need is a way to visualize the quartiles/error/whatever of these points. I thought about boxplots, but I have to many points on the xaxis - it would be impossible to see

...confusion with qunif, etc * scale_*: better error message if you add a scale without a matching aesthetic mapping in the plot * scale_identity no longer converts everything to character * scale_identity: grob argument renamed to guide * stat_*: made all statistics more robust to errors * stat_quantile: fixed bug when only drawing a single quantile * stat_smooth: returns silently if <2 non-missing data points Minor aesthetic improvements * coord_polar now specifies aspect.ratio by default, and I've made a few other tweaks to make polar coordinates plot look nicer * geom_bar no lo...

...confusion with qunif, etc * scale_*: better error message if you add a scale without a matching aesthetic mapping in the plot * scale_identity no longer converts everything to character * scale_identity: grob argument renamed to guide * stat_*: made all statistics more robust to errors * stat_quantile: fixed bug when only drawing a single quantile * stat_smooth: returns silently if <2 non-missing data points Minor aesthetic improvements * coord_polar now specifies aspect.ratio by default, and I've made a few other tweaks to make polar coordinates plot look nicer * geom_bar no lo...

..._density: na.rm parameter added to the following statistics (thanks to Leena Choi for suggesting this) * stat_function: new, makes it easy to superimpose a function on the plot * stat_qq: axes flipped to agree with base R * stat_qq: now uses sample aesthetic to select variable for summary * stat_quantile: updated to work with latest version of quantreg * stat_spoke: new, to make it possible to use geom_segment parameterised by angle and radius (thanks to Jiho for the suggestion) * stat_summary: better documentation * stat_summary: convenient auto wrapping of simple summary functions Miscell...

..._density: na.rm parameter added to the following statistics (thanks to Leena Choi for suggesting this) * stat_function: new, makes it easy to superimpose a function on the plot * stat_qq: axes flipped to agree with base R * stat_qq: now uses sample aesthetic to select variable for summary * stat_quantile: updated to work with latest version of quantreg * stat_spoke: new, to make it possible to use geom_segment parameterised by angle and radius (thanks to Jiho for the suggestion) * stat_summary: better documentation * stat_summary: convenient auto wrapping of simple summary functions Miscell...