normaldist.crossout: Crosses out days from abundance dataset(s) using a normal...
In biometry/phenologicalOverlap: Phenological overlap between two event time series

Description Usage Arguments Details Value Author(s) See Also Examples

Crosses out days from abundance dataset(s) using a normal distribution

1	normaldist.crossout(data, mean, sd, reduction = 1, DataCheck = TRUE)

`data`	data.frame; an abundance dataset, with one column of date objects, and one column numeric values.
`mean`	numeric; the mean of the normal distribution. Number of days after the 01.01.1970
`sd`	numeric; the standard deviation of the normal distribution.
`reduction`	numeric; Determines how many 'observations' shall be excluded.
`CheckData`	logical; If TRUE the CheckData() function will be runned in advance. If FALSE the columns of data1 (and possibly data2) must be named Date and Count.

this function will reduce the number of observation in this dataset by one on a day, that is determined by a normal distribution, with the parameters mean and sd. if reduction is more than one, then there are several days determined.

A data.frame like data, but with excluded Observations.

Florian Berger <florian_berger@ymail.com>

scale

#Create Datasets
 a     <- c(1:10)
 dates1 <- as.Date(a, origin = '2017-01-01')
 count1 <- c(1,1,3,4,6,9,5,4,2,1)
 dat1   <- data.frame(dates1, count1)
 
 normaldist.crossout(dat1, mean = mean(as.numeric(dat1$dates1)), sd = 2, reduction =8)