similar to: ggplot2: scale_shape_manual

I'm designing a set of plots intended for a general audience; here's the code for one of them, using the latest version of ggplot: plot.enr.all <- ggplot(data=df1, aes(x=HS_GRAD_YEAR, y=Percentage, group=Enrolled_by, color=Enrolled_by, shape=Enrolled_by, fill=Enrolled_by)) + geom_line() + geom_point(size=3.5) + scale_y_continuous(breaks=seq(0, 100, 10),

Hello, I'm trying to plot a graph of blood glucose versus date. I also record conditions, such as missing the previous night's medications, and missing exercise on the previous day. My data looks like: > b2[68:74,] # A tibble: 7 ? 5 Date Time bg missed_meds no_exercise <date> <time> <dbl> <lgl> <lgl> 1 2023-10-17 08:50

I believe the missing shapes are because you had set alpha=0 for the last geom point. I expect there are better ways, but one way to handle it would be to avoid the filtering, adding columns with med and exercise status, like the following: # setup with data provided Date <- c('2023-10-17', '2023-10-16', '2023-10-15', '2023-10-14',

Tim, thanks, it helps very much. It works like a charm. Wow, there's so much I don't understand about ggplot2 functions, especially the aes() function. I just discovered the ggplot2-book.org site, and I hope to read it slowly and carefully over the next couple of weeks. Thanks again, Tim, for all your help. -Kevin On Tue, 2023-10-31 at 12:35 +0000, Howard, Tim G (DEC) wrote: > I

r <-(structure(list(TSS = c(2.8, 8.4, 11, 1.3, 4.2, 2, 3.4, 14, 8.2, 3.1, 1.4, 0.9, 0.5, 6.1, 9.2, 0.6, 1, 11, 2.4, 1.2, 1.3, 1.3, 0, 1.8, 8, 11, 11, 8.5, 8.5, 1.8, 13, 4.4, 1.4, 2.1, 0.5, 25, 25, 9.3, 6.1, 1.6, 1.5, 19, 19, 24, 9.6, 1.8, 1.4, 1), GPP = c(1.213695235, 3.817313822, 1.267930498, 10.45692825, 3.268295623, 3.505286001, 4.468225245, 0.915653726, 1.635617261, 3.726133898,

Hi, Based on some modification that I did to the R Cookbook Graphs Scatterplots code, link:http://wiki.stdout.org/rcookbook/Graphs/Scatterplots%20(ggplot2) I have some questions and I will appreciate a help: - How do I change the legend title? - How can I change the for each linear regression its color and linetype? - How can I add for both the linear regression lines their equations and Rseq

Dear all, The following example code produces a graph with ggplot2, to which I add several vertical lines of arbitrary colors. I am not satisfied with the legend: it automatically adds some vertical lines which I'd rather not see (they confuse the reader rather than add information in this case). > library(ggplot2) > dfr <- data.frame(values = sin(1:50/10), > fact =

Hi all, This seems like a basic problem, but no amount of playing with the code has solved it. I have a time-series data set like that shown below (only longer) and am seeking to plot the data with filled, circular points and error bars. I would like the error bars to be behind the points otherwise they tend to obscure the points (especially when I have a lot of points in the actual data set).

Dear list, I am facing an unusual situation where I need to create two sets of legends based on the color mapping. Can't get exactly what I want and really appreciate any advice from ggplot experts. Let's say I have the first dataset "df1" that draws some points and based on which a "loess" line with confidence interval is added. Then the second dataset

Is there any way to use expression() in legend labels with ggplot2? It seems that things like > scale_shape_manual(value = c( > x = expression(italic(x)), > y = expression(italic(y)) > )) don't work. Thanks very much :) -- Using GPG/PGP? Please get my current public key (ID: 0xAEF6A134, valid from 2010 to 2013) from a key server. -------------- next part --------------

Hola a tod en s, Este es el código principal que utilizo para diseñar mi zona de estudio (cuenca): png("mapa_zona_estudio.png", units="in", width=9, height=8.5, res=300) # Vamos a pintar los distintos instrumentos de medida sobre el mapa (junto con éste) y añadimos leyenda ggmap(mapa, extend='device', legend="left", base_layer=ggplot(datos, aes(x=lon,

Hi there, I am having a little problem with combining three scale_manual commands in a facet plot. I am not able to combine the three different characteristics, instead ending up with three different descriptions next to the graph for the same geom. I would like to see two separate labels (not three); one describing lines 1-7 and the other 8-14. For each of the treatments (A-B) I want a

Dear useRs, I'm struggling with the new version of ggplot2. In the previous version I did something like this. But now this yield an error (object "fill" not found). library(ggplot2) dummy <- data.frame(x = rep(1:10, 4), group = gl(4, 10)) dummy$y <- dummy$x * rnorm(4)[dummy$group] + 5 * rnorm(4)[dummy$group] dummy$min <- dummy$y - 5 dummy$max <- dummy$y + 5 ggplot(data

Given the data structure below and the call to ggplot2, how can I increase the size of the axis scale points, the line weight, and the size of the legend? ddata <-structure(list(year = structure(c(1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), .Label = c("2003", "2007"), class = "factor"), area = structure(c(7L, 6L, 1L, 2L, 3L, 4L, 5L, 7L, 6L, 1L,

Hi all, Is there any way for me to to string in the argument of qplot or ggplot? for example qplot(x='carat',y='price',data=diamonds,geom=c('point','smooth')) instead of qplot(x=carat,y=price,data=diamonds,geom=c('point','smooth')) Thanks!! Regards, TszKin Julian [[alternative HTML version deleted]]

Hi, I have a 5-paneled figure that i made using the facet function in qplot (ggplot). I've managed to arrange the panels into two rows/ three columns, but for the sake of easy visual comparisons between panels in my particular dataset, I want to have the two plots on the bottom align on the right hand side of the figure instead of the left. Here's an example: m <-

Hi, Color of my step plot is now by default. Now I'd like to change the color as the grey scale I specified. I don't know why I got three black plot. Here I attach two version of codes. The first one produces a step plot with color by default. The second one, modified from the first one, is not producing the grey scale I want. Any help would be highly appreciated. [version 1- working]

Dear all, I produced the following graph with ggplot which is almost fine, yet I don't like that the legend for "Means" and "Observations" includes a line, though no line is used in the plot for those two (the line for "Overall Mean" on the other hand is wanted): library(ggplot2) ddf <- data.frame(x = factor(rep(LETTERS[1:2], 5)), y = rnorm(10)) p <-

Hello, the same parameter for colour and shape aesthetics gives 2 legends: library(ggplot2) p <- ggplot(mtcars, aes(x=wt, y=mpg)) p + geom_point(aes(colour=factor(cyl), shape=factor(cyl))) Can the 2 legends be consolidated to one with colours and shapes of the symbols matched between legend and plot ? Thank you Bernd Engelmann bernd.engelmann at amd.com phone: + 49-351-277-4545 fax: +

Dear List, I am having trouble setting the transparency of a ribbon in ggplot2 and was wondering if anybody had any suggestions so far i have a plot exactly as i want it and i want to add a ribbon connecting the ymax and ymin, whci i do with the following command m10 + stat_summary(geom="ribbon", fun.ymin="min", fun.ymax="max") However the ribbon is a dark grey