some see as the
opposite companion of "winterize" ...
-Original Message-
From: R-help On Behalf Of Rich Shepard
Sent: Monday, September 13, 2021 5:51 PM
To: r-help@r-project.org
Subject: Re: [R] tidyverse: grouped summaries (with summerize)
On Mon, 13 Sep 2021, Rich She
On Tue, 14 Sep 2021, Eric Berger wrote:
This code is not correct:
disc_by_month %>%
group_by(year, month) %>%
summarize(disc_by_month, vol = mean(cfs, na.rm = TRUE))
It should be:
disc %>% group_by(year,month) %>% summarize(vol=mean(cfs,na.rm=TRUE)
Eric/Avi:
That makes no difference:
This code is not correct:
disc_by_month %>%
group_by(year, month) %>%
summarize(disc_by_month, vol = mean(cfs, na.rm = TRUE))
It should be:
disc %>% group_by(year,month) %>% summarize(vol=mean(cfs,na.rm=TRUE)
On Tue, Sep 14, 2021 at 12:51 AM Rich Shepard
wrote:
> On Mon, 13 Sep 2
On Mon, 13 Sep 2021, Rich Shepard wrote:
That's what I thought I did. I'll rewrite the script and work toward the
output I need.
Still not the correct syntax. Command is now:
disc_by_month %>%
group_by(year, month) %>%
summarize(disc_by_month, vol = mean(cfs, na.rm = TRUE))
and result
On Mon, 13 Sep 2021, Avi Gross via R-help wrote:
Did I miss something?
Avi,
Probably not.
The summarise() command is telling you that you had not implicitly
grouped the data and it made a guess. The canonical way is:
... %>% group_by(year, month, day, hour) %>% summarise(...)
After sendi
ey are in
the output.
Avi
-Original Message-
From: R-help On Behalf Of Rich Shepard
Sent: Monday, September 13, 2021 4:53 PM
To: r-help@r-project.org
Subject: [R] tidyverse: grouped summaries (with summerize)
I changed the data files so the date-times are in five separate columns:
year,
I changed the data files so the date-times are in five separate columns:
year, month, day, hour, and minute; for example,
year,month,day,hour,min,cfs
2016,03,03,12,00,149000
2016,03,03,12,10,15
2016,03,03,12,20,151000
2016,03,03,12,30,156000
2016,03,03,12,40,154000
2016,03,03,12,50,15
2016
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