On 2020-08-21 16:22 +1200, Abby Spurdle wrote:
| On Fri, Aug 21, 2020 at 4:16 PM Abby Spurdle wrote:
| | On Fri, Aug 21, 2020 at 1:06 PM Sparks, John wrote:
| | |
| | | Hi R Helpers,
| | |
| | | I wanted to try the rotationForest
| | | package.
| | |
| | | I pointed it at my data set and
| | |
Dear R users,
I have already asked this in r-sig-finance (not getting a solution)
but it seems to be plot-related anyway.
I like to plot several financial charts to files with an identical
layout according to "indicators" so the charts can be browsed
quickly.
quantmod::chart_Series is a function
Hi,
I have a small test sample with lab reports (PAP smears) from a number
of different providers. These have Collection Dates and the relevant
columns glimpse() something like this:
$ Provider"Dr C", "Dr D", "Dr C", "Dr D"
$ CollectionDate "2016-11-03", "2016-11-02", "2016-11-03", "20
On 2020-08-21 09:03 +0200, Dr Eberhard Lisse wrote:
> Hi,
>
> I have a small test sample with lab
> reports (PAP smears) from a number of
> different providers. These have
> Collection Dates and the relevant
> columns glimpse() something like
> this:
>
> $ Provider"Dr C", "Dr D", "D
Hi Eberhard,
Here is one possibility using dplyr.
library(dplyr)
set.seed(3)
## set up some fake data
dtV <- as.Date("2020-08-01") + 0:4
x <- sample(dtV,20,repl=TRUE)
provider <- sample(LETTERS[1:3],20,repl=TRUE)
lDf <- data.frame(Provider=provider,CollectionDate=x,stringsAsFactors=FALSE)
## get
Hi Mike,
Try this:
plot (chart_Series (sample.xts[,1], subset=subset, TA=ta),
type="n",ylim=c(minimum,maximum))
where minimum and maximum are the extremes of the plot if there were
any valid values.
Jim
On Fri, Aug 21, 2020 at 6:32 PM Mike wrote:
>
> Dear R users,
>
> I have already asked thi
Eric, Rasmus,
thank you very much,
ALLPAP %>%
group_by(Provider) %>%
mutate( minDt=min(CollectionDate),
maxDt=max(CollectionDate)) %>%
summarize( minDt = min(minDt),
maxDt = max(maxDt),
Using mutate followed by summarise in this case is completely unnecessary.
a <- ( lDf
%>% dplyr::group_by( Provider )
%>% dplyr::summarise( u = min( CollectionDate )
,, v = max( CollectionDate )
)
)
On August 21, 2020 2:41:26 AM P
On 2020-08-21 13:45 +0200, Dr Eberhard Lisse wrote:
|
| Eric, Rasmus,
|
| thank you very much,
|
|ALLPAP %>%
|group_by(Provider) %>%
|mutate( minDt=min(CollectionDate),
|maxDt=max(CollectionDate)) %>%
|summarize( mi
Thanks Abby and Rasumus.
I like to leave the solution on this list for the next potential person.
I had failed to realize that this package doesn't use one of the formula forms.
So my call of
RotFor2000<-rotationForest(up~.,data=modeldata)
is what caused the error.
After converting to the a
Rasmus,
thank you,
I am an elderly Gynecologist, dabbling a little, ie exactly the
clientele for which the tidyverse "thingy" was developed :-)-O.
In addition I like readable code so I later understand what I was trying
to do :-)-O
el
On 2020-08-21 16:15 , Rasmus Liland wrote:
> On 2020-08-2
Hi
I was able to run R code via PROC IML in SAS,so is there any way to export
the generated outputs to SAS datasets since the R outputs don't follow data
frame structure.
Thanks in advance
Jose
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__
R-help@r-p
Colleagues,
I have 250 Excel files in a directory. Each of those files has the same
layout. The problem is that the data in each Excel data is not in
rectangular form. I've been using readxl to extract the data which I need.
Each of my metrics are stored in a particular cell. For each metric, I
Colleagues,
I have 250 Excel files in a directory. Each of those files has the same
layout. The problem is that the data in each Excel data is not in
rectangular form. I've been using readxl to extract the data which I need.
Each of my metrics are stored in a particular cell. For each metric, I
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