View source: R/Module_calcPercChange.R
calcPercChange | R Documentation |
this function applies a basic deterministic with various user options (e.g. log transform, gen avg smoothing, time window to use). For a single vector, use calcPercChangeSimple()
calcPercChange( X, gen.in = 4, slope.num.gen = 3, extra.yrs = 0, genmean.smoothing = TRUE, log.transform = TRUE, out.exp = FALSE, tracing = FALSE )
X |
a data frame with Years x Stocks. Row labels are years, no missing years allowed, NA are possible, but will result in NA for |
gen.in |
= average generation time |
slope.num.gen |
number of generations over which to calculate the perc change |
extra.yrs |
to handle COSEWIC "extra year". default is 0 |
genmean.smoothing |
if TRUE, apply the smoothSeries() function. default is TRUE |
log.transform |
if TRUE, log-transform the time series before calculating the smoothed series. default is TRUE |
out.exp |
if TRUE, take the exponent of the smoothed series before calculating the perc change. default is FALSE |
tracing |
if TRUE, print various diagnostics to the command line. default is FALSE |
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