On 03/11/2011 05:08 AM, Mike Gibson wrote:
I want to increase the number of labels on my y-axis. Here is my code:
plot(fish$species, fish$fl, ylim=c(5,25), xlab="Species", ylab="Fork Length
(in)")
The plot is great but it only has numerical y-labes every five values (i.e.
labels at 5, 10,
Hi Mike,
You can use the ?axis function to add custom axes in. To prevent
overwriting, you will want to suppress the default y axis in your call
to plot. You can find details on the arguments and parameters in ?par
(I recommend pulling it up in a way that you can search because the
par documenta
I want to increase the number of labels on my y-axis. Here is my code:
plot(fish$species, fish$fl, ylim=c(5,25), xlab="Species", ylab="Fork Length
(in)")
The plot is great but it only has numerical y-labes every five values (i.e.
labels at 5, 10, 15, and 25). I want R to give me the sa
, 1/3/10, Gabor Grothendieck wrote:
From: Gabor Grothendieck
Subject: Re: [R] plot question
To: "Albert-Jan Roskam"
Cc: r-help@r-project.org
Date: Sunday, January 3, 2010, 10:10 PM
I gather that each row defines one series, right? In that case try this:
Lines <- "date
Hi:
My understanding is that you want a separate plot over time of each of your
repeated
measures variables. If that's the case, then perhaps something along the
following lines
will work. Given the manufactured data set Gabor provided (g from lines),
let's use
the reshape package and then plot
I gather that each row defines one series, right? In that case try this:
Lines <- "datesobernovmnmvanavs
20091229NA6.8NA2.711.72.76.2
20091230NA6.8NA2.711.72.76.2
20091231NA6.8NA2.711.72.
Hi,
I am new to R so forgive me if the following query is somewhat simple. I have
a small tab-separated file with n records of glucose values, one record per
day, seven measurements per day. It looks like this:
date sober no vm nm va na vs
20091229 NA 6.8 NA 2.
1.4, 3.2, 5), 100, replace = TRUE)
bwplot(CV ~ positioned(FV))
-Original Message-
From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On
Behalf Of Alan Barnett
Sent: Friday, December 14, 2007 08:16 AM
To: R-Help
Subject: [R] Plot question
I have some data consisting of multiple t
Hi Alan,
Yes it is, but you need to do a bit work. There are different approaches.
Look at the at= option under
?bxp
and draw your boxplots with something like:
boxplot(y ~ as.numeric(as.factor(grp)), at=c(0.5, 2, 2.5, 3), xaxt="n", ...)
axis(side=1, at=c(0.5, 2, 2.5, 3), labels=c("0.5","2",
On Fri, 2007-12-14 at 08:16 -0500, Alan Barnett wrote:
> I have some data consisting of multiple trials of an experiment with
> different values of an independent variable. If I run
> R> plot(var,result)
> I get a scatterplot of result versus the independent variable var.
> If I run
> R> plot(as
I have some data consisting of multiple trials of an experiment with
different values of an independent variable. If I run
R> plot(var,result)
I get a scatterplot of result versus the independent variable var.
If I run
R> plot(as.factor(var),result)
I get a boxplot of the distribution of result f
The last example does connect the points of average intensity, doesn't it?
Hadley
On 10/2/07, Tiandao Li <[EMAIL PROTECTED]> wrote:
>
> Thanks for your help, Hadley. I want to treat concentration as factor, and
> the 2nd and 3rd part of codes are what I wanted. However, how to draw the
> lines to
Thanks for your help, Hadley. I want to treat concentration as factor, and
the 2nd and 3rd part of codes are what I wanted. However, how to draw the
lines to connect the points of average intensity of each gene at different
concentrations?
On Tue, 2 Oct 2007, hadley wickham wrote:
On 10/2/07,
On 10/2/07, Tiandao Li <[EMAIL PROTECTED]> wrote:
> Hello,
>
> I have a question about how to plot a series of data. The folloqing is my
> data matrix of n
> > n
> 25p5p 2.5p 0.5p
> 16B-E06.g 45379 4383 5123 45
> 16B-E06.g 45138 4028 6249 52
> 16B-E06.g 48457 4267 5470
Hello Eric,
I got it right this time. You are right, regression line is way too messy.
For each gene, plot the lines connecting the points of the average
intensity at different concentrations, and write gene ID at the end of
line. I am new to the R graphics, any help is appreciated.
On Tue, 2
But you did not use the command I suggested: you replaced x with
colnames(n), which is a vector of characters. Characters such as "25p"
has little meaning for plotting:
> as.numeric("25p")
[1] NA
So you've tried to plot a bunch of NA's, which is why it doesn't know
what limits to use for xlim.
T
However, I got the following msg.
> matplot(colnames(n), t(n), pch = 1, axes = FALSE)
Error in plot.window(xlim, ylim, log, asp, ...) :
need finite 'xlim' values
In addition: Warning messages:
1: NAs introduced by coercion in: as.double.default(x)
2: no non-missing arguments to min; retu
Okay. If you want to customize the axis labels, you can suppress the
defaults by changing the matplot call to
matplot(x, t(n), pch = 1, axes = FALSE)
And then adding them how you want:
axis(side = 2)
axis(side = 3, at = x, lab = colnames(n))
box()
On 10/2/07, Tiandao Li <[EMAIL PROTECTED]> wr
Thanks for your quick reply, Eric.
I want plot colnames(n) as string on x-axis. If the regression lines don't
fit the data very well, it is OK, the plot is only for quality check.
On Tue, 2 Oct 2007, Eric Thompson wrote:
If I've correctly interpreted what you want, you first need to get the x
If I've correctly interpreted what you want, you first need to get the x values:
x <- colnames(n)
x <- as.numeric(substr(x, 1, nchar(x) - 1))
Then it seems fairly easy to use matplot to get the values with
different colors for each concentration
dim(x) <- c(length(x), 1)
matplot(x, t(n), pch = 1
Hello,
I have a question about how to plot a series of data. The folloqing is my
data matrix of n
> n
25p5p 2.5p 0.5p
16B-E06.g 45379 4383 5123 45
16B-E06.g 45138 4028 6249 52
16B-E06.g 48457 4267 5470 54
16B-E06.g 47740 4676 6769 48
37B-B02.g 42860 6152 19276
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