Description Usage Arguments Value Author(s) Examples
This function allows to fit several distribution functions to observed data
by means of the methods Lmoments, probability weighted moments, maximum
likelihood and moments. It also assesses the goodness of fit test with different
statistics (see goodFIT
).
1 2 3 
Intensity: 
a numeric vector with intensity [mm/h] values of different years for a specific time duration (e.g. 5, 15, 120 minutes, etc.). 
Type: 
a character specifying the name of the distribution function that will
be employed: exponencial, gamma, gev, gumbel, log.normal3, normal, pearson, log.pearson3 and
wakeby (see 
Plot: 
a number (1) to determine if it will be plotted density curves
both empirical as modeled (pdf). a number (2) to determine if it will be
plotted curves between return 
M.fit: 
a character specifying the name of fit method employed on pdf, just three
options are available: Lmoments (Lmoments), ProbabilityWeighted Moments (PWD),
Maximum Likelihood (MLE) (see 
Periods: 
a numeric vector with return periods. 
Dura: 
a character specifying a time duration of the 
Station: 
a character specifying a name or number of pluviographic station where data were measured. It is used to save results. 
CI: 
a logical value specifying whether confidence interval should be
cumputed to pdf fitted by means 
iter: 
an integer representing number of resamples to conduct when
confidence interval will be computed (see 
goodtest: 
a logical value specifying whether goodnessfit tests should be
cumputed to pdf fitted by means of 
Resolution: 
a number to determine resolution that the plot function will used to save graphs.
It has two options: 300 and 600 ppi. See 
SAVE: 
a logical value. TRUE will save 
A list with the fitted distribution and the parameters:
Parameters
a list with type of distribution fitted and values of its parameters
Int.pdf
a numeric vector of intensities values per each return Periods
compute by pdf fitted.
Conf.Inter
a matrix with lower and upper limits of confidence
interval for pdf fitted and computed for each return Periods
.
goodness.fit
a data frame with statistics values of goodness of fit tests and its respective pvalue,
moreover information criteria are evaluated (see goodFIT
)
Info.PDF
a vector with details about fit method and distribution function employed.
David Zamora <[email protected]> Water Resources Engineering Research Group  GIREH
1 2 3 4 5  # Meteorology station in the Farfan Airport in Tulua, Colombia.
data(inten)
fit.pdf < fitDISTRI(Intensity =inten[15:35,2], Type ="Gumbel", Plot = 12, M.fit = "LMOMENTS",
Periods =c(2,3,5,10,25,50,100), Dura ="5 min", Station ="2610", CI = TRUE,
iter =100, goodtest = TRUE,Resolution = 300, SAVE = FALSE)

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