Description Usage Arguments Value Author(s) Examples
Creates a summary of the first and last detection at a site, the length of time between first and last detection, the number of tags, and the total number of detections at a site. Plots total number of detections across all tags, and total number of tags detected at each site.
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data |
a selected table from .motus data, eg. "alltags", or a data.frame of detection data including at a minimum variables for motusTagID, sig, recvDeployLat, recvDeployName, and ts |
units |
units to display time difference, defaults to "hours", options include "secs", "mins", "hours", "days", "weeks" |
a data.frame with these columns:
site: site
first_ts: time of first detection at specified site
last_ts: time of last detection at specified site
tot_ts: total amount of time between first and last detection at specified site, output in specified unit (defaults to "hours")
num.tags: total number of unique tags detected at specified site
num.det: total number of tag detections at specified site
Zoe Crysler zcrysler@gmail.com
1 2 3 4 5 6 7 8 9 10 11 12 13 | You can use either a selected tbl from .motus eg. "alltags", or a data.frame, instructions to convert a .motus file to all formats are below.
sql.motus <- tagme(176, new = TRUE, update = TRUE) # download and access data from project 176 in sql format
tbl.alltags <- tbl(sql.motus, "alltags") # convert sql file "sql.motus" to a tbl called "tbl.alltags"
df.alltags <- tbl.alltags %>% collect %>% as.data.frame() ## convert the tbl "tbl.alltags" to a data.frame called "df.alltags"
Create site summaries for all sites within detection data with time in default hours using data.frame df.alltags
site_summary <- siteSum(tbl.alltags)
Create site summaries for only select sites with time in minutes
site_summary <- siteSum(filter(df.alltags, recvDeployName %in% c("Niapiskau", "Netitishi", "Old Cur", "Washkaugou")), units = "mins")
Create site summaries for only a select species, Red Knot
site_summary <- siteSum(filter(df.alltags, speciesEN == "Red Knot"))
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