Hi all,
I had a fish telemetry data with more then 11 million lines. I had some
false records in the data, that I have to eliminate. I can solve this using
a loop, but I think that dplyr:: filter could be faster and elegant. I just
can't figure out how to do it.
At this moment, I already summarized this raw data, and had something like
this (dput at end of e-mail):
Date Station Antenna Mean_power N_records *Action need (manually inserted)*
29/03/2019 ANT01 1 108 1704 Remove
29/03/2019 ANT01 2 94 1219 Remove
29/03/2019 ANT02 1 220 3029 Keep
29/03/2019 ANT02 2 219 2711 Keep
30/03/2019 ANT01 1 204 2289 Keep
30/03/2019 ANT01 2 172 1477 Keep
30/03/2019 ANT02 1 88 913 Remove
30/03/2019 ANT02 2 72 1080 Remove
30/03/2019 ETE01 AH0 87 1 Keep
The problem occurs between Stations ANT01 and ANT02. In the same day, I
have to keep the pair of records that have bigger Mean_power and more
N_records. In this example, I have to keep records in Station ANT02 in
29/03 and of ANT01 and ETE01 in 30/03. If I do not have more than ANT01 and
ANT02 in the same day, it was a simple question.
I have to do this for each marked fish, that is identified by a Code supres
here for resuming.
Thanks in advanced,
Raoni
structure(list(Date = structure(c(17984, 17984, 17984, 17984, 17985, 17985,
17985, 17985, 17985), class = "Date"),
Station = c("ANT01","ANT01", "ANT02", "ANT02", "ANT01", "ANT01", "ANT02",
"ANT02","ETE01"),
Antenna = c("1", "2", "1", "2", "1", "2", "1", "2","AH0"),
Media_power = c(108, 94, 220, 219, 204, 172, 88, 72, 87), N_records =
c(1704L, 1219L, 3029L, 2711L, 2289L, 1477L, 913L, 1080L, 1L)),
row.names = c(NA, -9L), class = c("grouped_df", "tbl_df", "tbl",
"data.frame"),
groups = structure(list(Date = structure(c(17984, 17984, 17985, 17985,
17985), class = "Date"), Station = c("ANT01",
"ANT02", "ANT01", "ANT02", "ETE01"), .rows = list(1:2, 3:4, 5:6, 7:8, 9L)),
row.names = c(NA, -5L), class = c("tbl_df", "tbl",
"data.frame"), .drop = TRUE))
--
Raoni Rosa Rodrigues
Research Associate of Fish Transposition Center CTPeixes
Universidade Federal de Minas Gerais - UFMG
Brasil
rodrigues.raoni at gmail.com
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