On 01/28/2013 09:42 PM, Peverall Dubois wrote:
Is there any package that allow you to perform "MA plot" like graph
for Toray microarray data?
Unlike Affymetrix CEL file which contain 2 values (R and G),
Torray raw data only contain 1 value.
MA-plot is Affymetrix specific which usually availabl
Wrong list! You want Bioconductor.
-- Bert
On Mon, Jan 28, 2013 at 2:42 AM, Peverall Dubois
wrote:
> Is there any package that allow you to perform "MA plot" like graph
> for Toray microarray data?
>
>
> Unlike Affymetrix CEL file which contain 2 values (R and G),
> Torray raw data only contain
Is there any package that allow you to perform "MA plot" like graph
for Toray microarray data?
Unlike Affymetrix CEL file which contain 2 values (R and G),
Torray raw data only contain 1 value.
MA-plot is Affymetrix specific which usually available for in (limma)
package.
P. Dubois
[
Dennis,
Thank you for your reply. This is a good start for what I want to achieve.
-- Joe
-Original Message-
From: Dennis Murphy [mailto:djmu...@gmail.com]
Sent: Friday, May 20, 2011 10:55 PM
To: Joseph Boyer
Cc: r-help@r-project.org
Subject: Re: [R] Variability plot in R
Here'
Here's one attempt; I only used five of the wafers since you didn't
provide any data.
dd <- data.frame(wafer = factor(rep(1:5, each = 6)),
operator = factor(rep(rep(1:3, each = 2), 5)),
thickness = c(0.62, 0.66, 0.53, 0.53, 0.51, 0.55,
On May 20, 2011, at 7:12 PM, Joseph Boyer wrote:
Is there a package in R that can do a variability plot?
A variability plot is a kind of categorized dot plot. (If there is a
lot of data in each category, box plots are used rather than dot
plots.)
Usually, the categories are factor level co
Is there a package in R that can do a variability plot?
A variability plot is a kind of categorized dot plot. (If there is a lot of
data in each category, box plots are used rather than dot plots.)
Usually, the categories are factor level combinations. All the dot plots appear
in the same window
I am analyzing the voice telephone traffic of some operators. In this type of
phenomenon is useful to consider the anomalies in the duration in minutes of
conversation but it is very important to take account of another variable:
average time of conversation, the relationship between the duration
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