Message-ID: <alpine.LNX.2.20.2109131446090.10716@salmo.appl-ecosys.com>
Date: 2021-09-13T21:50:38Z
From: Rich Shepard
Subject: tidyverse: grouped summaries (with summerize)
In-Reply-To: <alpine.LNX.2.20.2109131419190.10716@salmo.appl-ecosys.com>
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 results are:
> source('disc.R')
`summarise()` has grouped output by 'year', 'month'. You can override using the `.groups` argument.
> disc_by_month
# A tibble: 590,940 ? 6
# Groups: year, month [66]
year month day hour min cfs
<int> <int> <int> <int> <int> <dbl>
1 2016 3 3 12 0 149000
2 2016 3 3 12 10 150000
3 2016 3 3 12 20 151000
4 2016 3 3 12 30 156000
5 2016 3 3 12 40 154000
6 2016 3 3 12 50 150000
7 2016 3 3 13 0 153000
8 2016 3 3 13 10 156000
9 2016 3 3 13 20 154000
10 2016 3 3 13 30 155000
# ? with 590,930 more rows
The grouping is still not right. I expected to see a mean value for each
month of each year in the data set, not for each minute.
Rich