scatter plot of numerical variables against different sample ids
You can also try using ggplot2 to generate the plot:
library(tidyr) library(ggplot2) data <- gather(mldf,Element,Value,2:4) p <- ggplot(data,aes(x=factor(Element),y=Value,group=Sample,color=Sample)) p+geom_line()
Shawn Way, PE
-----Original Message-----
From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of Jim Lemon
Sent: Monday, December 05, 2016 3:02 PM
To: Maria Lathouri <mlathouri at yahoo.gr>
Cc: R-help Mailing List <r-help at r-project.org>
Subject: Re: [R] scatter plot of numerical variables against different sample ids
Hi Maria,
Perhaps something like this:
mldf<-read.table(text="Sample Cu Zn Mn
M1 1 5 10
M2 2.5 11 8
M3 1.15 11 12
M4 2 4 30
M5 8 15 35",
header=TRUE)
matplot(mldf,type="b",pch=c("C","Z","M"))
Jim
On Mon, Dec 5, 2016 at 11:25 PM, Maria Lathouri via R-help <r-help at r-project.org> wrote:
Dear all
I know that my question is very simple but although I tried to find an answer online, I couldn't and I am stuck.
I have a dataset of three numerical variables measured in different samples ID. Something like this:
Sample Cu Zn MnM1 1 5 10M2 2.5 11 8M3 1.15 11 12 M4 2 4 30M5 8 15 35
I would like to plot these variables (Cu, Zn, Mn) (in y-axis) against the Sample ID (in x-axis) in a scatter plot with lines as I want to see how they change in the samples.
I tried using the command>plot(Sample, Cu, type="l", lty=1, col="red")
but I wouldn't get a line. Actually, I would get some small horizontal lines in each point. I tried to use type="p" but I would get the same thing.
I would very much appreciate if you could help me on that. Apparently, I am missing something.
Thank you in advance.
Kind regards,Maria
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______________________________________________ R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.