search for: scale_y_continu

...etan en formato científico , cuando antes era normal. Es decir, mis valores máximos están sobre 300000, pero en el eje ahora pone 3e+05 y no he encontrado como cambiarlo. He visto que se puede cambiar utilizando el paquete scales y utilizando por ejemplo , siendo p un gráfico creado antes p + scale_y_continuous(labels=comma) que me lo pone en formato 300,000 , pero no he encontrado como poner 300000 sin comas ni puntos, ni que sea en notación científica. Parece que ggplot2 lo decide solo , ya que si hago p+ scale_y_continuous(limits=c(0, 10000)) si lo pone en formato normal. Gracias

Hello, this following code give a nice png: /library(ggplot2) i <- 1 png(file=paste('test ',i,'.png',sep='')) qplot(carat, data=diamonds, fill=color,geom='histogram')+scale_y_continuous(i) dev.off() / I would like to get more files, but the following code doesn't make any file: /library(ggplot2) for (i in 1:2) { png(file=paste('test ',i,'.png',sep='')) qplot(carat, data=diamonds, fill=color,geom='histogram')+scale_y_continuous(i)...

...rame(x=factor(2:8), y=0.1*(2:8)) plot1<-ggplot() plot1<-plot1+layer(data=plotdata, mapping=aes_string(x='x',y='y'),geom='bar', stat='identity') RangeY <-c(0,1) YBreaks <- (0:10)*diff(RangeY)/10 YTickLabels<- as.character(YBreaks) plot2 <- plot1 + scale_y_continuous(limits=RangeY, breaks=YBreaks, labels=YTickLabels, expand=c(0,0)) print(plot2)

...ody 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") + BaseTheme(base_size=12) many thanks, Christian

Dear UserRs, I am trying to use systematically ggplot2 for most of my plots, but I am fighting some lack of documentation, which I try to overcome. I want to build a scatterplot where the axes cross exactly at (0,0). I tried using scale_y_continuous(limits=c(0,10)), but I always get an extra space at the bottom of the axes. The code I used is below. > plotdata<-data.frame(x=1:10, y=runif(10)) > plot<-ggplot() > plot<-plot+layer(data=plotdata, mapping=aes_string(x='x',y='y'), geom='point', st...

...old", 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 wanted to do is to print the values below 20, with an x color between 20-30, with a y clor between 30-40, with a z color and so on.... I would not care now for the color palette. Any would do. Could you please help me with that? Regards A...

...s(y = air_temp, colour = "Temperature")) # adding the relative humidity data, transformed to match roughly the range of the temperature p <- p + geom_line(aes(y = rel_hum/5, colour = "Humidity")) # now adding the secondary axis, following the example in the help file ?scale_y_continuous # and, very important, reverting the above transformation p <- p + scale_y_continuous(sec.axis = sec_axis(~.*5, name = "Relative humidity [%]")) # modifying colours and theme options p <- p + scale_colour_manual(values = c("blue", "red")) p <- p...

Dear All, I am trying to graph a simple scatter plot where the x axis is year and the y axis is a percentage (percentage of infant death). Instead of plotting the raw data, I want to plot summary statistics such as mean and median. Here is the problem: the value range of y is between 0 and 1, but since infant death is a rare event, the mean and median is very low (something like 5%), which shows

...te-space around the plot. (If anyone has suggestions on removing these please let me know) I've come up with the following but it is not behaving the same way as the qplot above: ggplot(data = somdf, mapping = aes(x = pixX, y = pixY)) + layer(data = somdf, geom = "tile", fill=rgb) + scale_y_continuous(name=" ",breaks=" ") + scale_x_continuous(name=" ",breaks=" ") + scale_fill_identity() + coord_cartesian() + opts(aspect.ratio = .75) + facet_grid(unitX ~ unitY,margins=FALSE) The result is a plot where all tiles are filled with grey50, and not the data v...

...s in advance for your help. PS: x=runif(10) qplot(x*3, x) + coord_equal() produces some very strange scales. this looks like a bug to me. especially since: foo=x qplot(foo*3, foo) + coord_equal() works as expected PPS: I tried ggplot(data=a, aes(x=x,y=y)) + geom_point() + coord_equal() + scale_y_continuous(limits=c(0,1)) which has no effect. but the side effect of enforcing the square domain is that: ggplot(data=a, aes(x=x,y=y)) + geom_point() + coord_equal() + scale_y_continuous(limits=c(0,0.3)) has no effect either (i would expect to see only the points <0.3) JiHO --- http://jo.irisson....

....character(ft$Share))) > > ggbar <- ggplot(ft, aes(x = hora, y = frec)) + > geom_area(fill= "gray") + > scale_x_datetime(date_breaks = "5 mins", date_labels = "%H:%M") + > theme(panel.background = element_rect(fill = "white")) + > scale_y_continuous(limits=c(0,1500)) + > labs(x = "Minutos", y = "Tweets") + # Etiquetas o títulos de los ejes > theme(axis.text.x=element_text(angle=90)) # Orientación texto eje x > > ggshr <- ggplot(ft, aes(x = hora, y = Share)) + geom_line(color="blue") + >...

...quot;mean","variable","Q") data[,1]=mean #Plot p=qplot(data=data,data$Q,data$mean,fill=data$variable,geom="bar",stat="identity",position="dodge",binwidth=2,ylab=NULL,xlab=NULL,width=.75) #With 0-6 Scale p + scale_x_discrete(expand=c(0,0)) + scale_y_continuous(limits=c(0,7),breaks=seq(from=0,to=6,by=.5),expand=c(0,0)) + coord_flip() + scale_fill_manual(values=c("darkmagenta","lightgoldenrod1")) + opts( panel.background = theme_rect(colour = NA), panel.background = theme_blank(), panel.grid.minor = theme_blank(), axis....

...aes(Time)) + geom_bar(subset = .(variable == + "EXP"), aes(y = value, fill = BEC), stat = "identity") + + geom_bar(subset = .(variable == "IMP"), + aes(y = -value, fill = BEC), stat = "identity") + + xlab("") + scale_y_continuous("Export - Import", + formatter = "comma") Error in continuous_scale(c("y", "ymin", "ymax", "yend", "yintercept", : unused argument(s) (formatter = "comma") > ggp...

...lot: ## data specification ggplot(data=data.frame(x,y,z)) + ## first set of points geom_point(mapping=aes(x=x,y=y)) + ## scale_y_log() + ## second set of points geom_point(mapping=aes(x=x,y=z),pch=3) + ## layer(mapping=aes(x=x,y=z),stat="smooth",method="loess") + ## scale_y_continuous() scale_y_log() and scale_y_continuous() appear to apply to both mappings at once, and I can't figure out how to associate them with the intended ones (I expect this will be a desire for size and color scales as well). Of course, I can always try to fool the system by (1) applying the scal...

...mperature")) > > # adding the relative humidity data, transformed to match roughly the > range of the temperature > p <- p + geom_line(aes(y = rel_hum/5, colour = "Humidity")) > > # now adding the secondary axis, following the example in the help file > ?scale_y_continuous > # and, very important, reverting the above transformation > p <- p + scale_y_continuous(sec.axis = sec_axis(~.*5, name = "Relative > humidity [%]")) > > # modifying colours and theme options > p <- p + scale_colour_manual(values = c("blue", &...

How are sub/superscripts designated for text in axis labels? As in this y-axis label: scale_y_continuous("Respiration, pmol O2 h-1") where the "2" needs to be subscripted and the "-1" needs to be superscripted. Thanks. Adam --------------------------------------------------- Adam G. Marsh, Ph.D. Associate Professor Marine Biological Sciences University of Delawar...

...ata[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, 0))) ggplot()+map_mp but I have such error "Error in recordGraphics(drawGTree(x), list(x = x), getNamespace("grid")) : invalid graphics state" What am I doing wrong?

...king] library(ggplot2) ggplot(qry_r3_AFF0_CumRate_pooled[qry_r3_AFF0_CumRate_pooled$trt_label %in% c('ace','ctrlAM','met'),] , aes(x=AFF0, y=cum_rate_AFF0_pooled, group=trt_label))+ geom_step(aes(color=trt_label), direction="hv", size=5.0)+ scale_y_continuous("Rates of initiating first orientation flight", limits=c(0,0.6), expand=c(0,0), breaks=c(0,0.2,0.4,0.6)) + scale_x_continuous("Age of adults (days)", limits=c(0,16), expand=c(0,0), breaks=c(5, 10, 15)) + scale_colour_discrete(name ="Group",...

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-tp24624709p24624709.html Sent from the R help mailing list archive at Nabble.com.

...c('Class1', 'Class2', 'Class3', 'Class4')))) plotdata2 <- plotdata2[order(plotdata2[,'group']),] plot0<-ggplot() layer1<-layer(data=plotdata2, mapping=aes_string(x='x',y='y'),geom='point', stat='identity') scaleY<-scale_y_continuous() scaleX <- scale_x_continuous() Facets<-facet_grid(group ~ .) plot1<-plot0+layer1 +scaleY + scaleX + facet_grid(group~.) plot1 I always get the error message: Error in check_formula(formula, varnames) : Formula contains variables not in list of known variables Thanks for any help...