similar to: point size

Displaying 20 results from an estimated 5000 matches similar to: "point size"

2017 Jun 16
0
point size
You could add size = log10_P to the aes() inside geom_point(). Untested code below. See also http://ggplot2.tidyverse.org/reference/geom_point.html ggplot(mydata, aes(x = X, y = log10_P)) + theme_bw() + theme(panel.border=element_blank(), legend.position="top", axis.text=element_text(size = 8)) + geom_point(aes(color = Traits, size = log10_P)) Jean On Fri, Jun 16, 2017 at
2018 Feb 12
2
plotting the regression coefficients
Hi Petr and Richard; Thanks for your responses and supports. I just faced a different problem. I have the following R codes and work well. p <- ggplot(a, aes(x=Phenotypes, y=Metabolites, size=abs(Beta), colour=factor(sign(Beta)))) + theme(axis.text=element_text(size = 5)) p1<-p+geom_point() p2<-p1+theme(panel.grid.major = element_blank(), panel.grid.minor = element_blank(),
2018 Feb 13
0
plotting the regression coefficients
Hi scale_colour_gradient(?red?, ?blue?) should do the trick. Actually I found it by Google ggplot colour http://www.cookbook-r.com/Graphs/Colors_(ggplot2)/ http://www.sthda.com/english/wiki/ggplot2-colors-how-to-change-colors-automatically-and-manually#gradient-colors-for-scatter-plots question. So you could find it too and probably far more quickly then myself as I have also other duties. Cheers
2018 Feb 12
0
plotting the regression coefficients
Petr, there was a thinko in your response. tmp <- data.frame(m=factor(letters[1:4]), n=1:4) tmp tmp$m <- factor(tmp$m, levels=c("c","b","a","d")) ## right tmp[order(tmp$m),] tmp <- data.frame(m=factor(letters[1:4]), n=1:4) levels(tmp$m) <- c("c","b","a","d") ## wrong tmp[order(tmp$m),] changing levels
2018 Feb 12
3
plotting the regression coefficients
Hi After melt you can change levels of your factor variable. Again with the toy example. > levels(temp$variable) [1] "y1" "y2" "y3" "y4" > levels(temp$variable) <- levels(temp$variable)[c(2,4,1,3)] > levels(temp$variable) [1] "y2" "y4" "y1" "y3" > And you will get graphs with this new levels ordering.
2017 Aug 04
1
legend and values do not match in ggplot
I have following codes for ggplots. The legends are given in the plot do not match with the values specified in the codes given below. Your helps highly appreciated. Greg library(ggplot2) p <- ggplot(a,aes(x=NO_BMI_FI_beta ,y=FI_beta ,color= Super.Pathway))+ theme_bw() +theme(panel.border=element_blank()) + geom_point(size=3) p2<-p+scale_color_manual(name="Super.Pathway",
2017 Nov 17
2
How to produce rainfall maps
Dear R users, I need to produce rainfall maps using R. I know that this is possible, I looked though the web, I found the example below reported (the author is Andrew Tredennick). I would ask you if this is the most performing way to make rainfall maps; if yes would someone be able to give me an example of how file.asc and pointfile.csv should be? If no would somebody please show me another way
2017 Nov 21
0
How to produce rainfall maps
Hi, You might get more help from the R-sig-geo list, which is devoted to spatial topics. However. The *.asc file is an ArcGIS raster export format. You should use whatever the appropriate import commands are for your own gridded rainfall data. If you have a different format, you might or might not be able to import it directly with raster. ?raster will tell you more about the kinds of formats
2013 Sep 18
1
ggplot2: changing strip text in facet_grid and a legend text problem
Hi, Dummy data script and scripts are attached below. I would like to change the plot to look like this:
2023 Jun 28
1
horizontal grouped stacked plots and removing space between bars
I have code like this: data <- read.csv("test1.csv", stringsAsFactors=FALSE, header=TRUE) # Graph myplot=ggplot(data, aes(fill=condition, y=value, x=condition)) + geom_bar(position="dodge", stat="identity", width=0.5) + scale_fill_manual(values=c("#7b3294", "#c2a5cf", "#a6dba0", "#008837"))+
2017 Nov 22
2
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 there's no standard for intermediate forms.) Cheers, Mike On Wed,
2024 Jul 18
1
ggplot two-factor legend
?s 17:43 de 18/07/2024, Rui Barradas escreveu: > ?s 16:27 de 18/07/2024, SIBYLLE ST?CKLI via R-help escreveu: >> Hi >> >> I am using ggplot to visualise y for a two-factorial group (Bio: 0 and >> 1) x >> = 6 years. I was able to adapt the colour of the lines (green and red) >> and >> the linetype (solid and dashed). >> Challenge: my code
2024 Jul 18
1
ggplot two-factor legend
?s 16:27 de 18/07/2024, SIBYLLE ST?CKLI via R-help escreveu: > Hi > > I am using ggplot to visualise y for a two-factorial group (Bio: 0 and 1) x > = 6 years. I was able to adapt the colour of the lines (green and red) and > the linetype (solid and dashed). > Challenge: my code produces now two legends. One with the colors for the > group and one with the linetype for the
2018 Apr 04
2
Plot data in sequence
Hi r-users, I would like to draw line plots. However, the plot starts from 11121 data and plot data ENTRY last in the plot. Here is the code and data. datn <- read.table(header=TRUE, text=' LEVEL STATUS CGPA DIPLOMA ENTRY 3.32 DIPLOMA 11121 2.91 DIPLOMA 11122 2.90 DIPLOMA 12131 2.89 DIPLOMA 12132 2.89 DIPLOMA 13141 2.93 DIPLOMA 13142 2.96 DIPLOMA 14151 2.76 DIPLOMA 14152 2.73 STPM
2013 Sep 26
1
Less than equal to symbol in ggplot2 legend text
Hello, I am trying to add a less than equal to symbol in a ggplot2 legend text. See sample code below. I have tried using the expression function and \u2264. I also tried adding labels to legend.text under theme. Neither of these 3 options work. Please help, Mahesh ++++++++++++++ Extra.column=ifelse(data[,covariate]>cutpoint,1,0) Grp1 <- "\u2264 1.5" Grp2 <-
2013 Mar 07
3
ggpliot2: reordering of factors in facets facet.grid(). Reordering of factor on x-axis no problem.
Hi everyone (again), before you all start screaming that the reordering of factors has been discusse on several threads and is not particular to ggplot2, hear me out. I can easily reorder my x-axis factor in facet.grid() in ggplot2. What I cannot reorder are the factors represented on the strips. I can see that the graphs are changing, so I am afraid of what it is I am doing. Why is ggplot2
2017 Jul 05
1
How can I make the legend in ggplot2 the same height as my plot?
Hi R Users, I tried to increase the legend height in ggplot2, but it did not respond at all using the follwoing code. Do you have any suggestions for me? dat<-data.frame(temperature) P1<-ggplot(dat, aes(X, Y)) Scenario1<-P1+geom_point(aes(colour = value), size = 1)+ theme_bw()+ theme(axis.text.x = element_blank(),axis.text.y = element_blank())
2013 Mar 06
6
Ggplot2: Moving legend, change fill and removal of space between plots when using grid.arrange() possible use of facet_grid?
Hi, # For publications, I am not allowed to repeat the axes. I have tried to remove the axes using: # yaxt="n", but it did not work. I have not understood how to do this in ggplot2. Can you help me? # I also do not want loads of space between the graphs (see below script with Dummy Data). # If I could make it look like the examples on the (nice) examples page: #
2018 Apr 04
0
Plot data in sequence
Hi, Thanks for the reproducible example. Looking at str(datn) would give you a clue. STATUS is a factor because it contains character values. Factor levels by default are alphabetical with numbers first, but you can change those. > str(datn) 'data.frame': 36 obs. of 3 variables: $ LEVEL : Factor w/ 4 levels "DIPLOMA","MATRIC",..: 1 1 1 1 1 1 1 1 1 4 ... $
2013 May 14
1
Tamaño plots y calidad en grafico ggplot
Hola a tod en s, bueno, un poco al hilo de un mensaje anterior, reformulo la pregunta y pongo código completamente reproducible, a ver si hay más suerte. Estoy con un informe y hay que hacer algunos gráficos con datos diferentes con ggplot2, y hay que poner el mismo tamaño para todos ellos. El problema es que R cambia automáticamente el tamaño del área de trazado y el margen en función de