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You might try here for genomics:
https://www.bioconductor.org/help/support/
Are there any SIGs for the use of R in healthcare or in genomics or biology?
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PLEASE do read
Sorry my fingers slipped and hit the send button.
One further thing is that I do not know why distribute.type = TRUE for cloud
did not work
Duncan Mackay
Department of Agronomy and Soil Science
University of New England
Armidale NSW 2350
-Original Message-
From: Duncan Mackay
Hi all
I know it is a bit late but I have been on other things.
This is a custom solution as it requires manual tweeking for further use in
getting the letter positioning
As cloud is fairly rigid I made a duplicate dataset and reduced the x and y
values by 0.1 as a trial.
Will need tweeking
Comments inline, but first:
Please review the posting guide and follow the instructions there, especially:
1) "No HTML posting..."
2) "When providing examples, it is best to give an R command that constructs
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> On Apr 4, 2019, at 9:41 AM, Ek Esawi wrote:
>
> Hi All--
>
> Sorry
Hi All--
Sorry i sent the one inadvertently
Her is a sample of my data. A data frame (MyDF) and a list (MyList). My
own data frame has over 10,000 rows. I want to find out which elements of
MyDF$B contain any element(s) of MYList; then change MyDF$C to the name of
the vector of the list that
Hi All
Her is a sample of my data. A data frame (MyDF) and a list (MyList). My
own data frame has over 10,000 rows. I want to find out which elements of
MyDF$B contain any element(s) of MYList; then change MyDF$C to the name of
the vector of the list that has match.
I solved this via loops and
Your dissertation advisor would probably be the best place to start.
Chris Ryan
--
Sent from my Android device with K-9 Mail. Please excuse my brevity.
On April 3, 2019 7:31:59 PM EDT, Matty A wrote:
>Message rejected by filter rule match
>
>
>
>
>-- Forwarded message --
>From:
Message rejected by filter rule match
-- Forwarded message --
From: matty
To: r-help@r-project.org
Cc:
Bcc:
Date: Wed, 3 Apr 2019 18:21:28 -0500 (CDT)
Subject: res intepretation help
Hi.. im a complete novice and am using R for my dissertation which is a
meta-analysis... im
Hi Michael et al,
I solved by myself simply running the code below.
Thanks anyway for the answers
Alfredo
t <- read.csv(file="C:\\Temp\\radio_survey.csv", header=TRUE, sep=",")
t1 <- table(t$Preference, t$Sex)
t2 <- table(t$Preference, t$Age)
t3 <- table(t$Preference, t$Time)
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