search for: geom_histogram

...and am a little confused. Sometimes discrete scales work like I'd expect, and sometimes they don't. For example... This works exactly like one would expect: df<-data.frame(names=c("Bob","Mary","Joe","Bob","Bob")) ggplot(df,aes(names))+geom_histogram() But this yields an error: ggplot(df,aes(names))+geom_histogram()+xlim("Bob") Error in data.frame(count = as.numeric(tapply(weight, bins, sum, na.rm = TRUE))$ arguments imply differing number of rows: 0, 1 ...as does this: ggplot(df,aes(names))+geom_histogram()+xlim("Bob"...

Hi, I have a histogram.But I need seperate colours for fixed range of values.for eg. between 2-3 on the x axis a colour.3-4 another colour etc. and the legend has to say what each colour is.How can this be done in geom_histogram? -- Rajesh.J [[alternative HTML version deleted]]

Dear ggplot2 users, is there an easy/elegant way to suppress zero count bars in histograms with logarithmic y axis ? One (made up) example would be qplot(exp(rnorm(1000))) + geom_histogram(colour = "cornsilk", fill = "darkblue") + scale_x_sqrt() + scale_y_log10() Thanks! Markus [[alternative HTML version deleted]]

...code not produce transparent bars? 1b) How can I manually specify the elements of the legend for this version of the plot? --8<---------------cut here---------------start------------->8--- ## Non-working version data(lexdec, package="languageR") g <- ggplot(lexdec) g + geom_histogram(aes(x=log(BNCw), fill = alpha("red", .5))) + geom_histogram(aes(x=log(BNCc), fill = alpha("blue", .5))) --8<---------------cut here---------------end--------------->8--- 2) Does anyone have a way to accomplish the same thing in lattice? I saw the post at http://w...

I am learning ggplot2 commands and I have figured out how to create histograms and density curves but I am not sure how to add a density curve on top of a histogram. Here are the two graphs that I created. ## Histogram t<-rnorm(500) w<-qplot(t, main="Normal Random Sample", fill=I("blue"), colour=I("black"), geom="histogram") w ##Density Curve

dear all, i am anewcomer. i have a set of paired data, the values are great different from each other. i want to show them in histogram. first, how to draw each bar for corresponding paired data side by side; second, how to set the scale of y axis? one is up to 100-fold to the other. ifdoubleslash is used to omit some coordinates, the histogram will looks better. is there anyone that can help

Given a data frame with a continuous variable and a factor. I would like to generate a histogram of the continuous variable, where each bar is filled with different colors according to the percentage of factor values falling into this region of the continuous variable. I looked into packages like 'lattice' and 'ggplot2'. Searching R-help revealed that 'histogram' is

...get. I wonder if anybody would like to go through your whole code. 1. data seems to be read correctly ICUData <- read.csv(file = "ICUData.csv", stringsAsFactors = TRUE) ICUData.neuro <- ICUData[ICUData$surgery == "neuro",] 2. ggplot(ICUData, aes(x=ICUData.neuro$LOS)) + geom_histogram(aes(y=after_stat(density)), binwidth = 5, fill = "darkgrey") gives me error Error in `check_aesthetics()`: ! Aesthetics must be either length 1 or the same as the data (500): x Run `]8;;rstudio:run:rlang::last_error()rlang::last_error()]8;;` to see where the error occu...

Hi all, How can I overlay these two histograms? ggplot(gg, aes(gg$Alz, fill = gg$veg)) + geom_histogram(alpha = 0.2) ggplot(tt, aes(tt$Cont, fill = tt$veg)) + geom_histogram(alpha = 0.2) thanks for any help! Elahe

...aving a problem generating the legend coloring appropriate to each distribution in the plot. Here is a test case to show my best (failed) effort so far: library(ggplot2) x <- data.frame(X=rnorm(1000, mean=0)) y <- 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), lim...

Dear all, For two sets of random variables, say, x <- rnorm(1000, 10, 10) and y <- rnorm(1000. 3, 20). Is there any way to overlay the histograms (and density curves) of x and y on the plot of y vs. x? The histogram of x is on the x axis and that of y is on the y axis. The density curve here is to approximate the shape of the distribution and does not have to have area 1. Thank you

...lowing for ggplot2 to decide the binwidths itself, I get the following error: - stat_bin: binwidth defaulted to range/30. Use 'binwidth = x' to adjust this. - Error: position_stack requires constant width My code is simply: ggplot(data=myDataSet, aes(x=myVarOI)) + geom_histogram() or qplot(myDataSet$myVarOI) If I go ahead and set the binwidth to some value, then the plot can be made without problems. The problem is with the specific data that it is trying to plot. I suspect it is trying to create bins of different sizes, from the error code. Here are the basi...

..._flat_df, VADeaths_flat_tmp3) VADeaths_flat_df<-rbind(VADeaths_flat_df, VADeaths_flat_tmp4) bin_size<-15.0 ggplot(VADeaths_flat_df, aes(x = factor(Data), fill = factor(Person))) + geom_bar(position=position_dodge(width =(20)), binwidth=20) # or ggplot(VADeaths_flat_df, aes(x=factor(Data))) + geom_histogram(binwidth=20)    Thanks again for any feedback you provide. [[alternative HTML version deleted]]

I am getting following strange error : library(sn) library(ggplot2) dat1 <- as.matrix(rsn(1000, 0, 1, 0))[,1] ggplot() + geom_histogram(aes(x = dat1, y = ..density.., fill = ..count..)) + xlab("Distribution") + scale_y_continuous("") Error: No data for layer Can anyone please tell me why it is coming? -- View this message in context: http://www.nabble.com/Another-question-on-gplot-tp24624709p2...

...(g),x) require(lattice) histogram( ~ x | system, data = TDBU, xlab = "LRR Effect Size",type="density", panel = function(x, ...) { panel.histogram(x, ...) panel.densityplot(x,...) } ) library(ggplot2) ggplot(TDBU,aes(x=x))+geom_histogram(aes(y=..density..))+ geom_density()+facet_grid(system~.) -- View this message in context: http://www.nabble.com/ggplot2-facets-as-rows-and-columns-tf4771000.html#a13647294 Sent from the R help mailing list archive at Nabble.com.

...ggplot(dataSet,aes_string(x = "MPG.city",y = "MPG.city")) theBoxPlot = theBoxPlot + geom_boxplot() + expand_limits(y= graphRange) + coord_flip() print(theBoxPlot) #making the histogram thePlot <- ggplot(dataSet,aes_string(x = "MPG.city")) thePlot <-thePlot + geom_histogram() + expand_limits(x= graphRange) print(thePlot) Thank you for taking the time to read this. John Clow UCSB Student

Hi With ggplot2 I can very easily create beautiful histograms but I would like to put two histograms on the same plot. The histograms may be over-lapping. When they are overlapping the bars are shown on top of each other (so that the overall height is the sum of the two). Is there any way to get them to display overlapping (with smaller value in front, larger value behind) so that the overall

Currently, I am doing it this way. x <- mtcars$mpg h<-hist(x, breaks=10, col="red", xlab="Miles Per Gallon", main="Histogram with Normal Curve") xfit<-seq(min(x),max(x),length=40) yfit<-dnorm(xfit,mean=mean(x),sd=sd(x)) yfit <- yfit*diff(h$mids[1:2])*length(x) lines(xfit, yfit, col="blue", lwd=2) But since, ggplot2 has more appealing

Hola. Tengo 4 gráficos: a <- qqnorm(total$ImpTotal) #con lattice y b, c y d son variaciones de este tipo?, creados con ggplot2: ?b <- g <- ggplot(data = total, aes(x=ImpTotal, fill=Convenio)) g + geom_histogram(binwidth = 90) ? Los quiero representar de la forma: par(mfrow=c(2,2)) a b c d Pero los que crea con ggplot2 aparecen en par(mfrow=c(1,1)), es decir: ignora la instrucción. ¿No puedo forzar a ggplot2 a que me haga caso? ¿El problema radica en utilizar dos paquetes gráficos distintos? ¿Cuál sería la...

...f the "fill" (colour) legend and the defintion of "levels". Have anybody a hint how i can do this. df <- data.frame(variable=sample(c("A","B","C"),1000,replace=T,prob=c(0.22,0.28,0.5)),group=gl(2,500)) p <- ggplot(df, aes(x = variable)) p + geom_histogram(aes(y= ..count.. / sum(..count..),fill=..count../sum(..count..)*100)) + scale_y_continuous(formatter = "percent") + facet_wrap(~group) + ylab("Anteil in %") + xlab("Attribute") + opts(title="Title",legend.text="Anteil in Prozent") + BaseThem...