FlowScreen (version 1.2.6)

NA.sum: Sum missing data points from a daily time series

Description

Counts the number of missing data points by calendar year, hydrologic year, or month

Usage

NA.sum(input, by = "hyear", hyrstart = 1)

Arguments

input

output from NA.runs

by

character string identifying the time period to summarize by. Defaults is hydrologic year ("hyear"), other choices are "year" and "month". The "month" option will return the number of missing data points for each month in the time series.

hyrstart

optional argument, define start month of hydrologic year

Value

Returns a numeric vector of the number of missing observations per summary period. The "times" attribute of the returned vector provides the corresponding year, hyear, or month.

See Also

NA.runs

Examples

# NOT RUN {
data(caniapiscau)
cania.sub <- caniapiscau[300:1200,]
cania.ts <- create.ts(cania.sub)
res <- NA.runs(cania.ts)
res2 <- NA.sum(res)
# }