search for: geom_abline

I am learning ggplot2, and need your help. When I try > p <- ggplot(mtcars, aes(x = wt, y=mpg)) + geom_point() > p + geom_abline(slope=5) (from http://had.co.nz/ggplot2/geom_abline.html) the slope of the abline does not change, but this works: > p + geom_abline(intercept=20) In order to have slope work, I have to use > p + geom_abline(aes(slope=5)) Is it a bug, or is there some reason slope and intercept were tre...

Hi all, I have run into what appears to be a bug in ggplot2; however, I am new to the ggplot syntax, so I might be missing a key element. The main issue is that I cannot get geom_abline to plot when colour is used to identify "group" in the main plot. When I remove colour, geom_abline works but the error bars have an undesirable line drawn between the left edges of the caps. Does anyone know how to change this behavior? I am using R version 2.5.1 and ggplot2 version...

Just trying to understand how geom_abline works with facets in ggplot. By way of example, I have a dataset of student test scores. These are in a data table dt with 4 columns: student: unique student ID cohort: grouping factor for students (A, B, . H) subject: subject of the test (English, Math, Science) score: the test score fo...

...p = ggplot(data = trainset, aes(x=x, y=y, color=z)) + geom_point() + scale_color_manual(values = c("red", "blue")) # show decision boundaries w = t(svm_model$coefs) %*% svm_model$SV # %*% = matrix multiplication slope_1 = -w[1]/w[2] intercept_1 = svm_model$rho / w[2] p = p + geom_abline(slope = slope_1, intercept = intercept_1) ### here we go: can I use a shaded area between these two lines? ### p = p + geom_abline(slope = slope_1, intercept = intercept_1 - 1/w[2], linetype = "dashed") + geom_abline(slope = slope_1, intercept = intercept_1 + 1/w[2],...

Thank you, but this split the area into two and distorts the shape of the plot. (compared to ``` p + geom_abline(slope = slope_1, intercept = intercept_1 - 1/w[2], linetype = "dashed", col = "royalblue") + geom_abline(slope = slope_1, intercept = intercept_1 + 1/w[2], linetype = "dashed", col = "royalblue") ``` Why there is a hole in...

...es(x=x, y=y, color=z)) + > geom_point() + scale_color_manual(values = c("red", "blue")) # show > decision boundaries w = t(svm_model$coefs) %*% svm_model$SV # %*% = > matrix multiplication > slope_1 = -w[1]/w[2] > intercept_1 = svm_model$rho / w[2] > p = p + geom_abline(slope = slope_1, intercept = intercept_1) ### here we go: > can I use a shaded area between these two lines? ### p = p + > geom_abline(slope = slope_1, intercept = intercept_1 - 1/w[2], > linetype = "dashed") + > geom_abline(slope = slope_1, intercept = i...

...eom_point(data = df_sv, aes(x=x, y=y), color="purple", size=4, alpha=0.5) # show hyperplane (decision boundaries are off set by 1/w[2]) w = t(svm_model$coefs) %*% svm_model$SV # %*% = matrix multiplication slope_1 = -w[1]/w[2] intercept_1 = svm_model$rho / w[2] p = p + geom_abline(slope = slope_1, intercept = intercept_1, col = "royalblue4") p = p + geom_ribbon(aes(ymin=intercept_1 - 1/w[2], ymax=intercept_1 + 1/w[2], x=x, fill = "band"), alpha = 0.3) + scale_fill_manual("",values=&qu...

...20 3:30 PM > To: PIKAL Petr <petr.pikal at precheza.cz> > Cc: r-help <r-help at r-project.org> > Subject: Re: [R] How to shade area between lines in ggplot2 > > Thank you, but this split the area into two and distorts the shape of the > plot. > (compared to ``` p + geom_abline(slope = slope_1, intercept = intercept_1 - > 1/w[2], > linetype = "dashed", col = "royalblue") + > geom_abline(slope = slope_1, intercept = intercept_1 + 1/w[2], > linetype = "dashed", col = "royalblue") ``` &gt...

...), > color="purple", size=4, alpha=0.5) # show hyperplane > (decision > boundaries are off set by 1/w[2]) w = t(svm_model$coefs) %*% > svm_model$SV # %*% = matrix multiplication > slope_1 = -w[1]/w[2] > intercept_1 = svm_model$rho / w[2] > p = p + geom_abline(slope = slope_1, intercept = intercept_1, col = > "royalblue4") > p = p + geom_ribbon(aes(ymin=intercept_1 - 1/w[2], > ymax=intercept_1 + 1/w[2], > x=x, fill = "band"), alpha = 0.3) + > scale_fill_manua...

Hi all, I'd want to plot a segment from a line specified by slope and intercept. I want to plot this line between two limits, x1 and x2, without imposing these limits to the hole plot as it is the case with scale_x_continuous(limits=c(x1,x2)) or with xlim and ylim. Any idea? Arnaud Chozo [[alternative HTML version deleted]]

...', labels='label A')+ scale_colour_hue(breaks='B', labels='label B') 3.) I would like to add the lines so it matches the default grey scale (graph 2), but I do not know the name of the different shades in the grey scale. I added the lines in the following way: > p + geom_abline(intercept = 81.476, slope=47.267, colour = "green", size = > 1, subset = .(country == 'low'))+ geom_abline(intercept = 31.809, > slope=20.234, colour = "blue", size = 1, subset = .(country == 'low')) > +..... http://r.789695.n4.nabble.com/file/n3657119/...

...ataframe, breaks = breaks, fill = Temperature, main = short_title) + scale_x_continuous("Data") + scale_y_continuous("Freq") +  scale_fill_discrete("Temperature") + scale_fill_manual(values = c(LOW = "blue", AMB ="black", HIGH = "red")) +  geom_abline(v = HighVal, col = "dodgerblue3", lty="dotdash")     "hist" approach attempt: hist(data_dataframe, breaks = breaks,  col = "dodgerblue3", xlab="Data", freq = TRUE, main="") +abline(v = HighVal, col = "dodgerblue3", lty="dot...

...acet wraps that the line belongs to, as it turns up in both grids. Is that possible in qqplot2? > p=ggplot(data = test, aes(x = YEAR, y = TOTAL, colour = TREATMENT)) + > geom_point() + facet_wrap(~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(metho...

Hi: Does anyone have an idea on how to color the axis and labels using ggplot2? This is what I got: library(ggplot2) p <- qplot(total_bill, tip, data = tips) NewPlot<- p + geom_abline(slope=c(0.1,0.15,0.2), colour=c("red","blue","yellow"),size=c(2,5,2)) NewPlot + geom_smooth(colour="green", size=3,linetype=3) NewPlot$background.fill<-"cornsilk" NewPlot$background.colour <- "blue" NewPlot$axis.colour<-"red...

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...t example to test segments: w <- tsibble( date = as.Date("2022-01-01") + 0:99, value = rnorm(100) ) ggplot(data = w, mapping = aes(date, value)) + geom_smooth(method = "lm", se = FALSE) + geom_point() ## Below gives error about ignoring data ## geom_abline( data = w$date[25:75] ) ## Gives error ''data' must be in <data.frame>' ## geom_smooth(data = w$date[25:35], ## method = lm, ## color = "black", ## se = FALSE) I'm thinking that this is probably easily...

...would do the trick. I also tried converting variable place into class 'factor'. require(ggplot2) DF <- data.frame(place=letters, value=runif(26), location=c(rep(1, 13), rep(0, 13))) qplot(data=DF, x=place, y=value, geom="bar", stat="identity") +   coord_flip() +   geom_abline(intercept=35, slope=0, colour="red") +   facet_grid(location ~ ., scales="free_y") R.version.string # "R version 2.10.1 (2009-12-14)" Thank you in advance & merry xmas!   Cheers!! Albert-Jan ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~...

...transformation at all) Then some questions arise when it comes to plot the data. As usual I'd like to plot the original data (not log transformed) but in a log-scale. I tried two approaches the standard plot function and ggplot. # Plot with ggplot ggplot()+ geom_point(aes(b1,a1,data=data1))+ geom_abline(aes(intercept=coef(model)[1],slope=coef(model)[2]))+ scale_y_log()+ scale_x_log() # Plot with standard plot plot(b1,a1,log="xy") abline(model,untf=T) abline(model,untf=F) 1) The regression lines are different for plot vs. ggplot(transformed or untransformed). So what is actually the co...

...e legend code is now considerably more sophisticated and will attempt to merge together legends for the same variable * also, legends are drawn based on the geoms used (instead of the scales used, as previously) so should match the plot much better (e.g. for geom_smooth, geom_boxplot, geom_vline, geom_abline, geom_pointrange). These features are new, so there are likely to be a few bugs that I haven't discovered. Please me know if you do find any. Other additions and corrections * coord_equal: should now work correctly in all situations * coord_polar: add start and direction parameters, giv...

...e legend code is now considerably more sophisticated and will attempt to merge together legends for the same variable * also, legends are drawn based on the geoms used (instead of the scales used, as previously) so should match the plot much better (e.g. for geom_smooth, geom_boxplot, geom_vline, geom_abline, geom_pointrange). These features are new, so there are likely to be a few bugs that I haven't discovered. Please me know if you do find any. Other additions and corrections * coord_equal: should now work correctly in all situations * coord_polar: add start and direction parameters, giv...