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
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(
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
Eric, Rasmus,
thank you very much,
ALLPAP %>%
group_by(Provider) %>%
mutate( minDt=min(CollectionDate),
maxDt=max(CollectionDate)) %>%
summarize( minDt = min(minDt),
maxDt = max(maxDt),
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)
##
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",
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",
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