search for: geom_rast

...+ scale_alpha(range = c(0,0.3), guide=FALSE) The above computes 2d density but it does not take the score (the weight into account). To do a weighted KDE I do : library(ks) mydensity <- kde(x = s_rit[,c(2,3)],w = s_rit$score) This computes a weighted KDE,but the data can't be passed to geom_raster because the x,y's are 151 each while the estimated density is a matrix 151 x 151. However this can be accepted by image as shown below. library(reshape2) library(ggplot2) x <- mydensity$eval.points[[1]] y <- mydensity$eval.points[[2]] z <- mydensity$estimate image(x,y,z) How can...

...ngthOut<-5 Lengths<- 15 library(reshape2) library(ggplot2) tdm <- melt(Data) ggplot(tdm, aes(x = Var2, y = Var1, fill = factor(value)),levels=seq(0,1,by=0.1)) +                   labs(x = "MHz", y = "Threshold", fill = "Duty Cycle") +                   geom_raster(alpha=1) +                   scale_fill_discrete(h.start=1,breaks=c(20,30,40,50,60,70,80,90),labels=c(20,30,40,50,60,70,80,90),fill="red") +                   scale_x_continuous(expand = c(0, 0)) +                   scale_y_continuous(expand = c(0, 0)) # End of code part What I...

...be labeled as str(yLabel) ?num [1:21] -88 -87 -86 -85 -84 -83 -82 -81 -80 -79 ... I have found on the internet that I can do something like that with ggplot2. For example you can run the following library(reshape2)library(ggplot2)m =matrix(rnorm(20),5)ggplot(melt(m),aes(Var1,Var2,fill=value))+geom_raster() What I see missing here is to get my matrix and transform it to a data frame with labels for x and y axis so as ggplot can print the values nice. If you get the idea this matrix will be printed as a two tile pattern let's say with black tiles zeros and white tiles black where a color bar w...

...                                                                             tdm <- melt(DataToPlot)              p<- ggplot(tdm, aes(x = Var2, y = Var1, fill = factor(value))) +             labs(x = "MHz", y = "Threshold", fill = "Duty Cycle") +             geom_raster() +             scale_fill_discrete() [[alternative HTML version deleted]]

...ropriate column headings colnames(df) <- c(?Longitude?, ?Latitude?, ?MAP?) #Call in point data, in this case a fake transect (csv file with lat and lon coordinates) sites <- data.frame(read.csv(?/your/path/to/pointfile.csv?)) #Now make the map ggplot(data=df, aes(y=Latitude, x=Longitude)) + geom_raster(aes(fill=MAP)) + geom_point(data=sites, aes(x=x, y=y), color=?white?, size=3, shape=4) + theme_bw() + coord_equal() + scale_fill_gradient(?MAP (mm/yr)?, limits=c(0,2500)) + theme(axis.title.x = element_text(size=16), axis.title.y = element_text(size=16, angle=90), axis.text.x = element_text(size=...

Dear all, I am using the code as below   tdm <- melt(matrixToPlot)    p<- ggplot(tdm, aes(x = Var2, y = Var1, fill = factor(value))) +                   labs(x = "Mz", y = "T", fill = "D") +                   geom_raster(alpha=1) +                   scale_fill_discrete(h.start=1) +                   scale_x_continuous(expand = c(0, 0)) +                   scale_y_continuous(expand = c(0, 0)) to plot an two dimensional image . I would like to ask your help to replace the gray border with white color and increase...

...(df) <- c(?Longitude?, ?Latitude?, ?MAP?) > > #Call in point data, in this case a fake transect (csv file with lat and lon coordinates) > sites <- data.frame(read.csv(?/your/path/to/pointfile.csv?)) > > #Now make the map > ggplot(data=df, aes(y=Latitude, x=Longitude)) + > geom_raster(aes(fill=MAP)) + > geom_point(data=sites, aes(x=x, y=y), color=?white?, size=3, shape=4) + > theme_bw() + > coord_equal() + > scale_fill_gradient(?MAP (mm/yr)?, limits=c(0,2500)) + > theme(axis.title.x = element_text(size=16), > axis.title.y = element_text(size=16, angle=90), &g...

Fwiw the engine behind geom_raster needs explicit observation-per-row form for input (with no structural normalization), so conversion to points is perfectly proper here, albeit confusing in context. (It's closer to what graphics devices actually use ultimately, but the expansion is laid out very early in ggplot2 because ther...

...regione.marche.it ---Oo---------oO---------------- ________________________________ Da: Michael Sumner [mdsumner at gmail.com] Inviato: mercoled? 22 novembre 2017 10.48 A: Sarah Goslee Cc: Stefano Sofia; r-help at r-project.org Oggetto: Re: [R] How to produce rainfall maps Fwiw the engine behind geom_raster needs explicit observation-per-row form for input (with no structural normalization), so conversion to points is perfectly proper here, albeit confusing in context. (It's closer to what graphics devices actually use ultimately, but the expansion is laid out very early in ggplot2 because ther...

...tions inside the plot area (Contributed by Baptiste Augui?). * `geom_map`: a new special case of `geom_polygon` useful when you are drawing maps, particularly choropleth maps. It is matched with `annotation_map`, an even faster special case when you want the same map drawn in each panel. * `geom_raster` is a special case of `geom_tile` for equally sized rectangular tiles. It uses the raster functionality of R graphics devices for massively increased speed and much decreased file sizes. It is matched with `annotation_raster`, an even faster special case, for when you want to draw the sam...

...tions inside the plot area (Contributed by Baptiste Augui?). * `geom_map`: a new special case of `geom_polygon` useful when you are drawing maps, particularly choropleth maps. It is matched with `annotation_map`, an even faster special case when you want the same map drawn in each panel. * `geom_raster` is a special case of `geom_tile` for equally sized rectangular tiles. It uses the raster functionality of R graphics devices for massively increased speed and much decreased file sizes. It is matched with `annotation_raster`, an even faster special case, for when you want to draw the sam...