search for: geom_polygon

...o groups. mRS is a scale for disability or daily activities competence. It looks like this. http://r.789695.n4.nabble.com/file/n4361919/rankinplot.png I just wish the polygons in between the bars would fill in the same colors as the bar segments do. Interestingly, in the example provided by the geom_polygon help page, there is a fill, which leads me to suspect that something with my data frame might be wrong. If I supply a "colour" argument, I get borders, but not always in the color I defined. The attached image has such borders, to make clear what polygons I am talking about. In the final...

Buenas tardes, Estoy intentando mejorar un gráfico que construyo pero de manera "bruta" y quiere encontrar una manera más eficiente. El gráfico en cuestión tiene más partes pero para simplificar la parte que me interesa es esta: [image: Imágenes integradas 5] Esto es una elipse de confianza de unos puntos, la elipse la consigo ayudándome de dataEllipse (paquete car), para llegar a

Hello, I need plot map using ggplot() I use such code: library("ggplot2") library(cshapes) cshp.data <- cshp() map <- cshp.data[cshp.data$COWCODE==369,] map_mp<- list( geom_polygon(aes(long, lat, group = group), data = map, fill = "grey70", colour = "grey60", inherit.aes = FALSE, show_guide = FALSE), scale_x_continuous("", breaks = NULL, expand = c(0.02, 0)), scale_y_continuous("", breaks = NULL, expand = c(0.02...

...readOGR(dsn=dsn, layer="PNW_wolf_habitat_grid") class(wolves.map) dim(wolves.map) head(wolves.map,1) names(wolves.map) gpclibPermit() wolves.ds <- fortify(wolves.map) head(wolves.ds);tail(wolves.ds) # Shapefile of 5 states wolves.plot <- ggplot(wolves.ds,aes(long,lat,group=group)) + geom_polygon(colour='white',fill='lightblue') wolves.plot # How to show the state borders of Washington, Oregon, Idaho, Montana and Wyoming on map? # Subset from wolves to create a logistic regression model based on WOLVES_99 and then apply to all the 5 states # Remove the WOLVES_99 2(two value...

...readOGR(dsn=dsn, layer="PNW_wolf_habitat_grid") class(wolves.map) dim(wolves.map) head(wolves.map,1) names(wolves.map) gpclibPermit() wolves.ds <- fortify(wolves.map) head(wolves.ds);tail(wolves.ds) # Shapefile of 5 states wolves.plot <- ggplot(wolves.ds,aes(long,lat,group=group)) + geom_polygon(colour='white',fill='lightblue') wolves.plot # How to show the state borders of Washington, Oregon, Idaho, Montana and Wyoming on map? # Subset from wolves to create a logistic regression model based on WOLVES_99 and then apply to all the 5 states # Remove the WOLVES_99 2(two value...

...t I can't figure out how to use it. Thank you for your help, Simon ### R-code library(ggplot2) library(maps) measurements <- read.csv("all_podo.count.csv", header=T) allworld <- map_data("world") pdf("map.pdf") ggplot(measurements, aes(long, lat)) + geom_polygon(data = allworld, aes(x = long, y = lat, group = group), colour = "grey70", fill = "grey70") + geom_point(aes(size = ref)) + opts(axis.title.x = theme_blank(), axis.title.y = theme_blank()) + geom_bar(aes(y = normcount)) dev.off() ### -- View this message in context:...

...geom_point(data=datos, aes(shape = INSTRUMENTACIÓN, color=INSTRUMENTACIÓN, fill=INSTRUMENTACIÓN), size=7.5) + geom_text(data=coord.geog[1:7,], aes(x=coord.geog$lon[1:7], y=coord.geog$lat[1:7], label=nombres.pluvio, hjust=0.2, vjust=1), size=5.2) + scale_shape_manual(values=c(21,24,22,23)) + geom_polygon(aes(x=long, y=lat, group=group), data=area.fort, colour="black", fill="brown", alpha=0.15, size=0.5, linetype=5) dev.off() Mi duda es: ¿Cómo puedo añadir una escala en km a esa imagen (mapa)? Gracias de antemano, Saludos, Marcos [[alternative HTML version d...

...n learning to use the ggplot2 library, and after a full day of work I still have a couple of basic questions. Here is an example: mydata=data.frame(x=runif(20),y=runif(20),n=runif(20)) mydata2=data.frame(x=c(0.4,0.6,0.5),y=c(0.4,0.4,0.6)) ggplot(mydata, aes(x, y)) + geom_point(aes(size = n)) + geom_polygon(data=mydata2,aes(x,y,alpha=0.5)) In this plot, the points are labeled as "n" (the name of the variable) and the polygon is labeled as "0.5" (the alpha value used). My questions are: a) How to change the text in the legend (for example, "number" instead of "...

...readOGR(dsn=dsn, layer="PNW_wolf_habitat_grid") class(wolves.map) dim(wolves.map) head(wolves.map,1) names(wolves.map) gpclibPermit() wolves.ds <- fortify(wolves.map) head(wolves.ds);tail(wolves.ds) # Shapefile of 5 states wolves.plot <- ggplot(wolves.ds,aes(long,lat,group=group)) + geom_polygon(colour='white',fill='lightblue') wolves.plot # How to show the state borders of Washington, Oregon, Idaho, Montana and Wyoming on map? # Subset from wolves to create a logistic regression model based on WOLVES_99 and then apply to all the 5 states # Remove the WOLVES_99 2(two value...

...gplot2 and I do not know the answer to your question. I > looked around a bit but could not find an answer right away. But one > possibility could be, if a direct approach is not possible, to draw > ellipses corresponding to the confidence regions of the multivariate t > density and use geom_polygon to draw this successively? > > I will wait for a couple of days to see if there is a better answer posted > and then write some code, unless you get to it first. > > Thanks, > Ranjan > > > On Sun, 8 Oct 2017 09:30:30 -0500 Big Floppy Dog <bigfloppydog at gmail.com>...

...0,0.4,0.25)) data<-data.frame(level=c(rep(1, 30),rep(2,30), rep(3,30)), x=x,y=y) find_hull <- function(data) data[chull(data$x, data$y), ] hulls <- ddply(data, .(level), find_hull) fig1 <- ggplot(data=data, aes(x, y, colour=(factor(level)), fill=level))+geom_point() fig1 <- fig1 + geom_polygon(data=hulls, alpha=.2) fig1 [[alternative HTML version deleted]]

...a_out.csv")   head(manuel_points);dim(manuel_points) # fortify this one too for the points or else an error will ocurr  manuel_points <- fortify(manuel_points)  manuel_points   # Plot the shapefile and overlayed the points over it p <- ggplot(manuel_merged, aes(long,lat,group=group)) +   geom_polygon(aes(data=manuel_merged,fill=Area_Influ)) +   geom_path(color="white") + theme_bw() # remove this if you don't want black and white background   p + geom_point(data=manuel_points,aes(size=ACE,colour=ACE,group=NULL)) +   scale_size(name = "Número\nde\nespecies", breaks = c(2,...

...I am no expert on ggplot2 and I do not know the answer to your question. I looked around a bit but could not find an answer right away. But one possibility could be, if a direct approach is not possible, to draw ellipses corresponding to the confidence regions of the multivariate t density and use geom_polygon to draw this successively? I will wait for a couple of days to see if there is a better answer posted and then write some code, unless you get to it first. Thanks, Ranjan On Sun, 8 Oct 2017 09:30:30 -0500 Big Floppy Dog <bigfloppydog at gmail.com> wrote: > Note: I have posted this on...

...oked around a bit but could not find an answer right away. But one >> >>>> possibility could be, if a direct approach is not possible, to draw >> >>>> ellipses corresponding to the confidence regions of the multivariate t >> >>>> density and use geom_polygon to draw this successively? >> >>>> >> >>>> I will wait for a couple of days to see if there is a better answer >> >>> posted >> >>>> and then write some code, unless you get to it first. >> >>>> >> >>...

...n(base_shape,base_puntos,base_titulos){ ##Se requiere crear un factor para ubicar los puntos dentro del mapa base_puntos<-cbind(base_puntos,categoria="Agencia") base_puntos$categoria <- factor(base_puntos$categoria,levels = c("Agencia")) grafico<-ggplot() + geom_polygon(data = base_shape, aes(x = long, y = lat, group = group, fill = valor), color = "black", size = 0.25) + scale_fill_distiller(palette = "Reds", guide="colourbar") + theme_nothing(legend = TRUE) + geom_point(data = base_puntos, aes(x = long.agencia.utm, y =la...

...;>> looked around a bit but could not find an answer right away. But one > >>>> possibility could be, if a direct approach is not possible, to draw > >>>> ellipses corresponding to the confidence regions of the multivariate t > >>>> density and use geom_polygon to draw this successively? > >>>> > >>>> I will wait for a couple of days to see if there is a better answer > >>> posted > >>>> and then write some code, unless you get to it first. > >>>> > >>>> Thanks, > &g...

Note: I have posted this on SO also but while the question has been upvoted, there has been no answer yet. https://stackoverflow.com/questions/46622243/ggplot-plot-2d-probability-density-function-on-top-of-points-on-ggplot Apologies for those who have seen it there also but I thought that this list of experts may have someone who knows the answer. I have the following example code:

...the answer to your question. > I > > looked around a bit but could not find an answer right away. But one > > possibility could be, if a direct approach is not possible, to draw > > ellipses corresponding to the confidence regions of the multivariate t > > density and use geom_polygon to draw this successively? > > > > I will wait for a couple of days to see if there is a better answer > posted > > and then write some code, unless you get to it first. > > > > Thanks, > > Ranjan > > > > > > On Sun, 8 Oct 2017 09:30:30 -0500...

...gt;> question. I >> > looked around a bit but could not find an answer right away. But one >> > possibility could be, if a direct approach is not possible, to draw >> > ellipses corresponding to the confidence regions of the multivariate t >> > density and use geom_polygon to draw this successively? >> > >> > I will wait for a couple of days to see if there is a better answer >> posted >> > and then write some code, unless you get to it first. >> > >> > Thanks, >> > Ranjan >> > >> > >&gt...

Hi I want to highlight two panels in a grid created with facet_grid() by putting a box around it or usiong another background colour. Is this possible, and if yes, how? Thanks Rainer -- Rainer M. Krug, Dipl. Phys. (Germany), MSc Conservation Biology (UCT) Plant Conservation Unit Department of Botany University of Cape Town Rondebosch 7701 South Africa Tel: +27 - (0)21 650 5776 (w) Fax: