Hi Gbemisola,
You can find functions for diallel analysis (Griffing and Hayman) and
LxT analysis in several R packages:
agricolae (on CRAN),
DiallelAnalysisR (on CRAN),
plantbreeding (on R-forge), and
AGD-R (on the CIMMYT website; a front-end built on R).
If these are not enough (!) you could try
Thanks Abs - I was able to get the plot I needed with the hdrcde package but I
will check out your package as well.
I continue to be impressed with the power Of R and the various packages
available.
Thanks again
Bernard
Sent from my iPhone so please excuse the spelling!"
> On Mar 29, 2019, a
I am not familiar with SAS, so what did you want your output to look like.
There is the 'table' function that might do the job and then there is
always 'dplyr' which can do the hard stuff. So we need more information on
what you want.
Jim Holtman
*Data Munger Guru*
*What is the problem that you
You can also use 'dplyr'
library(tidyverse)
result <- pcr %>%
group_by(Gene, Type, Rep) %>%
summarise(mean = mean(Ct),
sd = sd(Ct),
oth = sd(Ct) / sqrt(sd(Ct))
)
Jim Holtman
*Data Munger Guru*
*What is the problem that you are trying to solve?Tell me
Seconded!
On March 29, 2019 11:33:01 AM PDT, Rui Barradas wrote:
>Hello,
>
>I recommend you save them all in a list. It's a much better idea than
>to
>have length(names(wb)) objects in the globalenv.
>Something like the following would read them all in one go.
>
>xls_list <- lapply(seq_along(nam
Hello,
I recommend you save them all in a list. It's a much better idea than to
have length(names(wb)) objects in the globalenv.
Something like the following would read them all in one go.
xls_list <- lapply(seq_along(names(wb))[-1], function(i){
read.xlsx(wb, sheet = i)
})
names(xls_list
I think you want ?assign
Bert Gunter
"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
On Fri, Mar 29, 2019 at 10:39 AM Assa Yeroslaviz wrote:
> I am trying to automate the w
On Fri, 29 Mar 2019 14:07:16 +0100
Assa Yeroslaviz wrote:
> Is there a way to read for each sheet the name from names(wb) and
> convert it to a name for the object?
See `get` and `assign` functions for a way to use strings as object
names. Generally, it might not be a good idea to do that (what
I am trying to automate the way i read my tables. I have an Excel sheet I'm
reading using openxlsx package. The sheet contains over 30 sheets, i would
like to save each of them as separate objects.
my workflow for now is as such:
wb <- loadWorkbook(xlsxFile = "Output/Up_Down_Regulated_Gene_Lists.
Hello
I successfully installed keras and TensorFlow backend with install_keras(). I
attached the installation log as keras_install_log.txt. After that I tried to
download mnist data with dataset_mnist() function. However I got the following
error message:
#---
Hi, I am very new to r and need help from you to do a correspondence
analysis because I don't know how to structure the following data:
Thank you.
Alfredo
library(ca,lib.loc=folder)
table <- read.csv(file="C:\\Temp\\Survey_Data.csv", header=TRUE, sep=",")
head (table, n=20)
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