Please reply all so the mailing list is included in the discussion. I don't do
1:1 tutoring and others can chime in if I make a mistake.
I would say you don't understand what my example did, since it doesn't care how
many columns are in your data frame. If you are in fact working with a matrix,
A lot of new R users fail to grasp what makes data frames more useful than
matrices, or use data frames without even realizing they are not using matrices.
This is important because there are more tools for manipulating data frames
than matrices. One tool is the split function... if you have a v
If you explain better, we can help. But first consider what you are asking and
how it is relected in the data.
Is the first component a row number whose meaning is day 1 contains a 1 or
perhaps 0 and the next row contains one more? Or is there some kind of date in
there?
What day of the week i
I have data in a matrix form of order 1826*24 where 1826 represents the days
and 24 hourly observations on each data. My objective is to split the matrix
into working (Monday to Friday) and non-working (Saturday and Sunday)
submatrices. Can anyone help me that how I will do that splitting using
thanks, this is essentially merging bin and species into a single
variable. I was more interested in knowing if boxM can run on multiple
classes directly...
On Tue, Jan 4, 2022 at 12:34 PM PIKAL Petr wrote:
>
> Hi.
>
> Not sure if statistically correct but what about
>
> iris$int<- interaction(ir
Hi.
Not sure if statistically correct but what about
iris$int<- interaction(iris$bin, iris$Species)
boxM(iris[,1:4], iris[,7])
Cheers
Petr
> -Original Message-
> From: R-help On Behalf Of Luigi Marongiu
> Sent: Tuesday, January 4, 2022 11:56 AM
> To: r-help
> Subject: [R] how to run r
I have a data frame containing a half dozen continuous measurements
and over a dozen ordinal variables (such as, death, fever, symptoms
etc).
I would like to run a box matrix test and I am using biotools' boxM,
but it allows to run only one ordinal group at the time. For instance:
```
>data(iris)
>
Reading Excel files isn't a feature of base R (the topic here... read the
Posting Guide linked below) but the readxl contributed package can help with
that. The read_xlsx function has arguments to skip rows, limit the number of
rows read in, or specify regions to import such as B2:B2. Read the h
Hi
Try readxl package which has possibility to limit range of cells for
reading.
https://cran.r-project.org/web/packages/readxl/readxl.pdf
Cheers
Petr
> -Original Message-
> From: R-help On Behalf Of Bradley Heins via
> R-help
> Sent: Tuesday, January 4, 2022 4:20 AM
> To: r-help@r-pro
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