search for: stat_smooth

I'm interested in creating a graphic -like- this: c <- ggplot(mtcars, aes(qsec, wt)) c + geom_point() + stat_smooth(fill="blue", colour="darkblue", size=2, alpha = 0.2) but I need to show 2 sets of bands (with different shading) using 5%, 25%, 75%, 95% limits that I specify and where the heavy blue line is the median. I don't understand how to do this with ggplot2. What I am doing cu...

Hello everyone, I was wondering if anyone was aware of a way in which I could use ggplot's stat_smooth() function for add an exponential moving average. I was thinking that I could maybe use something like: >myggplot + stat_smooth (method = 'HoltWinters( data , .9 , 0, 0)') but my efforts were futile. Perhaps there is a way to write my own custom method to throw into stat_smooth?? Th...

Hi all, I am using ggplot2 and continuing to find it very useful and pretty. However, I am trying to create some graphics for publication that would be included in an MS Word document (not my choice!) in Windows Vista. The problem is that I want to use stat_smooth() to add an fitted linear model line along with its 95% confidence band, but I cannot seem to get the confidence band in a format that would import into Word. I have read the documentation and am using the fill="grey50" argument to eliminate transparency as a potential problem. But stil...

...ed for the separate fitted lines for GENDER, rather than grey for both. How can I do this? donner<-read.csv("http://www.ling.upenn.edu/~joseff/data/donner.csv") ggplot(donner, aes(AGE, NFATE, color = GENDER))+ geom_point(position = position_jitter(height = 0.02, width = 0)) + stat_smooth(method = "glm", family = binomial, formula = y ~ poly(x,2)) For the line width, I tried, ggplot(donner, aes(AGE, NFATE, color = GENDER))+ geom_point(position = position_jitter(height = 0.02, width = 0)) + stat_smooth(aes(size=2), method = "glm", family = binomial, formul...

With ggplot2, I can plot the glm stat_smooth for binomial data when the response is binary or a two-level factor as follows: data("Donner", package="vcdExtra") ggplot(Donner, aes(age, survived)) + geom_point(position = position_jitter(height = 0.02, width = 0)) + stat_smooth(method = "glm", family = binomial, f...

Hi all, Does one of you know if there is any way to combine a "nls" method in the stat_smooth of ggplot? Regards -- ------------- Benoit Boulinguiez Ph.D student Ecole de Chimie de Rennes (ENSCR) Bureau 1.20 Equipe CIP UMR CNRS 6226 "Sciences Chimiques de Rennes" Avenue du G?n?ral Leclerc CS 50837 35708 Rennes CEDEX 7 Tel 33 (0)2 23 23 80 83 Fax 33 (0)2 23 23 81 20 http://www.e...

...ot;), class = "factor")), .Names = c("konc.f", "bel", "typ"), row.names = c(NA, -102L), class = "data.frame") > Here is what I did p<-ggplot(ad, aes(x=konc.f, y=bel, colour=typ)) p+geom_boxplot()+geom_jitter(position=position_jitter(w=0.1))+stat_smooth() geom_smooth: Only one unique x value each group.Maybe you want aes(group = 1)? I get nice picture with boxes but I expected to get something like smoothing line through box centres. Is it possible without some hack to stat_smooth code? Regards Petr

Hello, I drew a simple area plot using ggplot2 using set <- read.table(file="http://www.jovian.nl/set.csv", head=1, sep=",") library(ggplot2) ggplot() + layer( data = set, mapping = aes(x = time, y = hours), geom = "area", stat="smooth", color="red" ) + layer( data = set, mapping = aes(x = time, y = hours), geom = "area",

In the change log of ggplot2, version 0.7, I find this: "* scales: any point outside of limits is dropped (this was previously the behaviour for discrete scales, but not continuous scales)" and that makes sense for some applications. But what about if I want to summarize the data with a smooth, and (a) include the effect of all values, but (b) "zoom in" on the smooth by

is it possible to map 2 plots(c and d) in a single output plot? library(ggplot2) c <- ggplot(mtcars, aes(qsec, wt)) d <- ggplot (mtcars, aes(qsec, wt)) c + stat_smooth(fill="darkgrey", colour="blue", size=2, alpha = 0.2) d + stat_smooth(fill="darkgrey", colour="red", size=2, alpha = 0.2) -- View this message in context: http://r.789695.n4.nabble.com/is-it-possible-to-map-2-plots-c-and-d-in-a-single-output-plot-tp2325023p23...

Hi All, I just installed Cairo on R 2.5.1 on windows XP. My hope was to get to see the transparency output e.g. http://had.co.nz/ggplot2/stat_smooth.html ggplot2 - stat_smooth , which I finally managed to do. However, I find the Cairo device, which I access either through CairoWin() or Cairo(type="win"), is pretty shaky in a number of respects : - whatever portion of the Cairo device that is covered by the R command window does not...

...qplot( data=df, x=date, y=df[,i], geom=c('line','jitter'), ylab=mlabel, main=mlabel, colour=I("dark blue") ) if ( smooth == TRUE ) { print("smoother requested...") tmp <- qmetric qmetric <- tmp + stat_smooth() } pngfn <- paste( BASEPATH, mlabel, ".png", sep="") print(pngfn) png( file=pngfn, height=h, width=w ) print(qmetric) dev.off() } basepath <- "C:/tmp" for ( i in c(2:6) ) { print...

...d(1234) predictor <- rnorm(1000, 3) outcome <- rnorm(1000, 10) moderator <- rnorm(1000) mydata <- data.frame(predictor, outcome, moderator) ggplot(mydata, aes(x=predictor, y=outcome, color=moderator)) + geom_point() + scale_colour_gradient2(low="blue", high="red") + stat_smooth(method=lm, se=TRUE, fullrange=T) ########################### Also, how can I set how many discrete levels to plot (e.g., 3 instead of 7)? Thanks in advance!

...with NAs in x * scale_alpha: setting limits to a range inside the data now works (thanks to report by Dr Proteome) * scale_colour_continuous: works correctly with single continuous value (fixes #73) * scale_identity: now show legends (fix #119) * stat_function: now works without y values * stat_smooth: draw line if only 2 unique x values, not three as previously * guides: fixed #126 * stat_smooth: once again works if n > 1000 and SE = F (thanks to bug report from Theiry Onkelinx and fix from Kohske Takahashi) * stat_smooth: works with locfit (fix #129) * theme_text handles alignment be...

...with NAs in x * scale_alpha: setting limits to a range inside the data now works (thanks to report by Dr Proteome) * scale_colour_continuous: works correctly with single continuous value (fixes #73) * scale_identity: now show legends (fix #119) * stat_function: now works without y values * stat_smooth: draw line if only 2 unique x values, not three as previously * guides: fixed #126 * stat_smooth: once again works if n > 1000 and SE = F (thanks to bug report from Theiry Onkelinx and fix from Kohske Takahashi) * stat_smooth: works with locfit (fix #129) * theme_text handles alignment be...

...p(~NITROGEN) #this is the treatment A, but should only be displayed in the right graph (low). p + geom_abline(intercept = 81.476,slope=47.2667, colour = "red", size = 1) http://r.789695.n4.nabble.com/file/n3626510/graph2.gif b. Another option I?ve tried is to specify the model in the stat_smooth and geom_smooth commandsm=, but in both cases I get an error message. > p + stat_smooth(method = "lm", formula = TOTAL ~ TREATMENT + YEAR + > COUNTRY + TREATMENT:YEAR)+ + geom_point() Error in model.frame.default(formula = formula, data = data, weights = weight, : variable leng...

....661 0.190 164.352 4.870 159.945 4.160 54.382 0.884 128.253 3.598 181.208 4.767 145.118 3.779 65.993 1.147 Hola buenas tardes quiero graficar una curva de tendendia de un modelo potencial con estos datos. mi codigo es el siguiente: ggplot(modelos_Garcia,aes(x = AF_E,y = PS_E)) + geom_point() + stat_smooth(method = 'nls', formula = 'y~a*x^b', start = list(a = 1,b=1),se=TRUE) pero cuando ejecuto el código no me aparece la curva de tendencia ¿alguien sabe cómo podría hacerlo?. por otro lado me gustaría añadir la ecuación del modelo. agradezco mucho la información que puedan darme. [[...

...out more at http://had.co.nz/ggplot2 Changes in version 0.5.2 ------------------------------ * add argument to position dodge so it's now possible to accurately dodge things with different widths to their physical widths * added median summary * new examples: * logistic regression example in stat_smooth * bugs fixed: * evaluation of arguments to layer is no longer delayed * can use categorical xseq with stat_smooth * x and y axes named incorrectly (thanks to Dieter Menne for spotting this) * can now pass position objects to qplot * y jitter calculated correctly, and jittered data rescales axi...

...are missing * better error messages if data not a data frame, or mapping not created by aes or aes_string * better errors for qplot when variables missing or data invalid * better error if somehow you are missing necessary scales * stat_bin informs you of the default choice of binwidth * stat_smooth gives helpful error messages for common problems * printing a geom now displays the data set that it uses (if not the default) Other improvements: * colour and fill legends now surround by background plot colour * can now draw arrow heads with geom_segment, and have added an example demonstr...

...ge{Sweave} \SweaveOpts{echo = FALSE, pdf.version=1.4, eps = FALSE} \begin{document} \begin{figure} \centering <<tmp, fig = T, width = 5, height = 4>>= library(ggplot2) x <- runif(100) dataset <- data.frame(x = x, y = 5 * x + rnorm(100)) ggplot(dataset, aes(y = y, x = x)) + stat_smooth() + geom_jitter() @ \caption{Here comes a caption.} \label{fig:tmp} \end{figure} \begin{figure} \centering <<fig = F>>= pdf(file="foo.pdf", version="1.4") ggplot(dataset, aes(y = y, x = x)) + stat_smooth() + geom_jitter() dev.off() @ \incudegraphics{foo} \c...