R: Numeric and character vectors to facilitate working with...

dateAccessories {fda} | R Documentation

## Numeric and character vectors to facilitate working with dates

### Description

Numeric and character vectors to simplify functional data computations and plotting involving dates.

### Format

- dayOfYear a numeric vector = 1:365 with names 'jan01' to 'dec31'.

- dayOfYearShifted a numeric vector = c(182:365, 1:181) with names 'jul01' to 'jun30'.

- day.5 a numeric vector = dayOfYear-0.5 = 0.5, 1.5, ..., 364.5

- daysPerMonth a numeric vector of the days in each month (ignoring leap years) with names = month.abb

- monthEnd a numeric vector of cumsum(daysPerMonth) with names = month.abb

- monthEnd.5 a numeric vector of the middle of the last day of each month with names = month.abb = c(Jan=30.5, Feb=58.5, ..., Dec=364.5)

- monthBegin.5 a numeric vector of the middle of the first day of each month with names - month.abb = c(Jan=0.5, Feb=31.5, ..., Dec=334.5)

- monthMid a numeric vector of the middle of the month = (monthBegin.5 + monthEnd.5)/2

- monthLetters A character vector of c("j", "F", "m", "A", "M", "J", "J", "A", "S", "O", "N", "D"), with 'month.abb' as the names.

- weeks a numeric vector of length 53 marking 52 periods of approximately 7 days each throughout the year = c(0, 365/52, ..., 365)

### Details

Miscellaneous vectors often used in 'fda' scripts.

### Source

Ramsay, James O., and Silverman, Bernard W. (2006), Functional Data Analysis, 2nd ed., Springer, New York, pp. 5, 47-53.

Ramsay, James O., and Silverman, Bernard W. (2002), Applied Functional Data Analysis, Springer, New York

### See Also

`axisIntervals` `month.abb`

### Examples

    daybasis65 <- create.fourier.basis(c(0, 365), 65)
    daytempfd <- with(CanadianWeather, smooth.basisPar(day.5,
        dailyAv[,,"Temperature.C"], daybasis65)$fd )
    plot(daytempfd, axes=FALSE)
    axisIntervals(1)
    # axisIntervals by default uses
    # monthBegin.5, monthEnd.5, monthMid, and month.abb
    axis(2)

[Package fda version 2.4.8 Index]