Hi Ioanna,
I looked at the problem this morning and tried to work out what you
wanted. With a problem like this, it is often easy when you have
someone point to the data and say "I want this added to that and this
multiplied by that". I have probably made the wrong guesses, but I
hope that you can
*snip*
Error in cor(D[, 18 + exon_offset], D[, 19 + exon_offset]) :
'x' must be numeric
*snip*
You are applying the correlation function to non-numeric variables.
Brian
On Wed, Dec 18, 2019 at 12:23 PM Ana Marija
wrote:
> Hello,
>
> I was running this code, located at:
> https://github.com/s
Bert, I am very grateful for your clear explanation!!!
Bert Gunter
If n = N, then this is unnecessarily complicated.
sample(mydata$Temperature)
is all you need (see ?sample).
If n < N, then the "trick" is not done.
sample(mydata$Temperature, n)
is what is wanted.
Bert
Thank you, Ji
If n = N, then this is unnecessarily complicated.
sample(mydata$Temperature)
is all you need (see ?sample).
If n < N, then the "trick" is not done.
sample(mydata$Temperature, n)
is what is wanted.
Bert
On Wed, Dec 18, 2019 at 12:54 PM Jim Lemon wrote:
> Hi Medic,
> mydata$Temperature[sam
Hello,
the error was in the code:
D = read.table(opt_input, head = FALSE, stringsAsFactors = FALSE)
I should have there header=TRUE
Sorry for bothering with this,
Ana
On Wed, Dec 18, 2019 at 2:44 PM Ana Marija wrote:
>
> Hi Ivan,
>
> here it is:
>
> > str(a)
> 'data.frame':17389 obs. of
Hi Medic,
mydata$Temperature[sample(1:N,N)
should do the trick. You will just get a pseudo-randomly shuffled set
of the same values.
Jim
On Thu, Dec 19, 2019 at 7:34 AM Medic wrote:
>
> Variable temperature:
> mydata$temperature
> has N values.
> With what code to сhoice (without return) n value
Hi Ivan,
here it is:
> str(a)
'data.frame':17389 obs. of 21 variables:
$ V1 : Factor w/ 17389 levels "ENSG419",..: 14093
14622 14705 14651 14784 17138 14773 14163 14569 15156 ...
$ V2 : Factor w/ 22 levels "chr1","chr10",..: 1 1 1 1 1 1
1 1 1 1 ...
$ V3
Variable temperature:
mydata$temperature
has N values.
With what code to сhoice (without return) n values from them RANDOMLY?
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PLEASE do read
On Wed, 18 Dec 2019 12:25:24 -0600
Ana Marija wrote:
> Error in cor(D[, 18 + exon_offset], D[, 19 + exon_offset]) :
> 'x' must be numeric
Try str(a) to find out the types of the columns. A stray typo could
make a representation of a number impossible to parse and make the
whole column textual.
Hello,
It's hard to tell without data but:
1) The data is read in in code line 19. Check if it has 19 columns and
if columns 18 and 19 are numeric.
If they are of class factor run
D[18:19] <- lapply(D[18:19], function(x) as.numeric(as.character(x)))
2) code line nr 20 is
exon_offset = ifel
On 18/12/2019 11:45 a.m., Christopher W Ryan wrote:
I'm not understanding how the tidyverse handles date formats.
output of sessionInfo() at the end of my message.
dateRanges <- structure(list(apptType = structure(1:2, .Label = c("initial
visit",
"start of treatment visit"), class = "factor"),
Hello,
You are passing a tbl_df to functions that expect a vector.
Here is a first, simpler example.
library(tidyverse)
df1 <- tibble(Date = Sys.Date() + 0:9)
## both produce expected result
format(df1$Date, format = "%d %b %Y")
df1 %>%
mutate(d = format(Date, format = "%d %b %Y"))
Now y
Hello,
I was running this code, located at:
https://github.com/swvanderlaan/QTLToolKit/blob/master/SCRIPTS/runFDR_cis.R
Rscript runFDR_cis.R Retina_new_perms_full.txt 0.05 permutations_all
and I got this error:
Processing QTLtools output.
* Input = [ Retina_new_perms_full.txt ]
* FDR=
I'm not understanding how the tidyverse handles date formats.
output of sessionInfo() at the end of my message.
dateRanges <- structure(list(apptType = structure(1:2, .Label = c("initial
visit",
"start of treatment visit"), class = "factor"), minMadeRequestDates =
structure(c(18124,
18115), class
Dear R-help listers,
The deadline for the 2020 Chambers Statistical Software Award submission has
been extended to December 31, 2019.
The Statistical Computing Section of the American Statistical Association
announces the competition for the John M. Chambers Statistical Software Award.
In 1998
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