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Visually assess change in sampling effort over time (author: Dietmar Straile)
sampeff(b_data, column, save.pdf = F, lakename = "", datecolumn = "date_dd_mm_yy", dateformat = "%d-%m-%y")
Name of data.frame object
column name or number for field containing abundance (biomass,biovol, etc.) can be NA for presence absence
TRUE/FALSE Should the output plot be saved to a file? defaults to FALSE
Character string for labeling output plot
Character String or number specifying dataframe field with date information
Character string specifying POSIX data format
a time-series plot of minimum relative abundance over time. This should change systematically with counting effort.
# NOT RUN { data(lakegeneva) #example dataset with 50 rows sampeff(lakegeneva,column=6) #column 6 contains biovolume # }
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