DATAPAC
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Introduction
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The DATAPAC library was written by
James Filliben of the
Statistical Engineering Division. After these routines
were incorporated into the
Dataplot program, development of DATAPAC stopped.
However, there are some subroutines here that may still be
of interest. In particular, there are a number of routines
for computing various probability functions.
This software is not formally supported and is not being
further developed. It is provided on an "as is" basis.
There is no formal documentation for the subroutines.
However, most of the subroutines contain usage instructions
in the comments in the source code.
These routines are written in Fortran 77 and should be
portable to most Fortran 77 compilers.
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Contents
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You can download the Fortran source code as a
single file or you can download
specific subroutines.
The following subroutines are available:
- AUTOCO - compute the sample
autocorrelation coefficient
- BETRAN - generate beta random
numbers
- BINCDF - compute the binomial
cumulative distribution function
- BINPPF - compute the binomial
percent point function
- BINRAN - generate binomial
random numbers
- CAUCDF - compute the Cauchy
cumulative distribution function
- CAUPDF - compute the Cauchy
probability density function
- CAUPLT - generate a Cauchy
probability plot (line printer graph)
- CAUPPF - compute the Cauchy
percent point function
- CAURAN - generate Cauchy
random numbers
- CAUSF - compute the Cauchy
sparsity function
- CHSCDF - compute the chi-square
cumulative distribution function
- CHSPLT - generate a chi-square
probability plot (line printer graph)
- CHSPPF - compute the chi-square
percent point function
- CHSRAN - generate chi-square
random numbers
- CODE - code the elements of a
vector (1 for the minimum, 2 for the next larger
value, and so on)
- COPY - copy the elements of one
vector into another vector
- CORR - compute the sample
correlation coefficient
- COUNT - compute the number of
observations between a minimum and a maximum value
- DECOMP - decomposes a weighted
data matrix (utility routine used by other routines)
- DECOMP - decomposes a weighted
data matrix (utility routine used by other routines)
- DEFINE - set all elements of a
vector equal to a specified constant
- DELETE - delete all elements of
a vector within some specified interval
- DEMOD - perform a complex
demodulation
- DEXCDF - compute the double
exponential cumulative distribution function
- DEXPDF - compute the double
exponential probability density function
- DEXPLT - generate a double
exponential probability plot (line printer graph)
- DEXPPF - compute the double
exponential percent point function
- DEXRAN - generate double
exponential random numbers
- DEXSF - compute the double
exponential sparsity function
- DISCR2 - bin the elements of a
vector (output vector contains class midpoints)
- DISCR3 - bin the elements of a
vector (output vector contains 1's, 2's, 3's, and so on)
- DISCRE - bin the elements of a
vector (similar to DISCR2, but allows for specification
of a minimum class limit and maximum class limit)
- DOT - compute a dot product of
two vectors
- EV1CDF - compute the extreme
value type 1 (Gumbel) cumulative distribution function
- EV1PLT - generate a extreme value
type 1 (Gumbel) probability plot (line printer graph)
- EV1PPF - compute the extreme
value type 1 (Gumbel) percent point function
- EV1RAN - generate extreme value
type 1 (Gumbel) random numbers
- EV2CDF - compute the extreme
value type 2 (Frechet) cumulative distribution function
- EV2PLT - generate a extreme value
type 2 (Frechet) probability plot (line printer graph)
- EV2PPF - compute the extreme
value type 2 (Frechet) percent point function
- EV2RAN - generate extreme value
type 2 (Frechet) random numbers
- EXPCDF - compute the exponential
cumulative distribution function
- EXPPDF - compute the exponential
probability density function
- EXPPLT - generate a exponential
probability plot (line printer graph)
- EXPPPF - compute the exponential
percent point function
- EXPRAN - generate exponential
random numbers
- EXPSF - compute the exponential
sparsity function
- EXTREME - determine whether an
extreme value type 1 or and extreme value type 2
distribution better fits a given data set
- FCDF - compute the F
cumulative distribution function
- FOURIE - perform a Fourier
analysis of a data set
- FRAN - generate F random numbers
- FREQ - compute the sample
frequency and cumulative sample frequency of a vector
- GAMCDF - compute the gamma
cumulative distribution function
- GAMPLT - generate a gamma
probability plot (line printer graph)
- GAMPPF - compute the gamma
percent point function
- GAMRAN - generate gamma
random numbers
- GEOCDF - compute the geometric
cumulative distribution function
- GEOPLT - generate a geometric
probability plot (line printer graph)
- GEOPPF - compute the geometric
percent point function
- GEORAN - generate geometric
random numbers
- HFNCDF - compute the half-normal
cumulative distribution function
- HFNPLT - generate a half-normal
probability plot (line printer graph)
- HFNPPF - compute the half-normal
percent point function
- HFNRAN - generate half-normal
random numbers
- HIST - generates histograms
based on two different class widths
- INVXWX - compute the inverse of
X'WX
- LAMCDF - compute the Tukey-Lambda
cumulative distribution function
- LAMPDF - compute the Tukey-Lambda
probability density function
- LAMPLT - generate a Tukey-Lambda
probability plot (line printer graph)
- LAMPPF - compute the Tukey-Lambda
percent point function
- LAMRAN - generate Tukey-Lambda
random numbers
- LAMSF - compute the Tukey-Lambda
sparsity function
- CAUCDF - compute the lognormal
cumulative distribution function
- CAUPDF - compute the lognormal
probability density function
- CAUPLT - generate a lognormal
probability plot (line printer graph)
- CAUPPF - compute the lognormal
percent point function
- CAURAN - generate lognormal
random numbers
- LOC - compute the sample mean,
midrange, midmean, and median
- LOGCDF - compute the logistic
cumulative distribution function
- LOGPDF - compute the logistic
probability density function
- LOGPLT - generate a logistic
probability plot (line printer graph)
- LOGPPF - compute the logistic
percent point function
- LOGRAN - generate logistic
random numbers
- LOGSF - compute the logistic
sparsity function
- MAX - compute the maximum of a
data vector
- MEAN - compute the mean of a
data vector
- MEDIAN - compute the median of a
data vector
- MIDM - compute the midmean of a
data vector
- MIDR - compute the midrange of a
data vector
- MIN - compute the minimum of a
data vector
- MOVE - move selected elements of
one vector into another vector
- NBCDF - compute the negative
binomial cumulative distribution function
- NBPPF - compute the negative
binomial percent point function
- NBRAN - generate negative
binomial random numbers
- NORCDF - compute the normal
cumulative distribution function
- NORPDF - compute the normal
probability density function
- NORPLT - generate a normal
probability plot (line printer graph)
- NORPPF - compute the normal
percent point function
- NORRAN - generate normal
random numbers
- NORSF - compute the normal
sparsity function
- PARCDF - compute the Pareto
cumulative distribution function
- PARPLT - generate a Pareto
probability plot (line printer graph)
- PARPPF - compute the Pareto
percent point function
- PARRAN - generate Pareto
random numbers
- PLOT10 - generate a line printer
plot with special plot characters
- PLOT6 - generate a line printer
plot
- PLOT7 - generate a line printer
plot with special plot characters
- PLOT8 - generate a line printer
plot with special plot characters
- PLOT9 - generate a line printer
plot with special plot characters
- PLOTC - generate a line printer
plot with special plot characters
- PLOTCO - generate a line printer
autocorrelation plot
- PLOTCT - generate a line printer
plot for the terminal (71 characters wide)
- PLOTSC - generate a line printer
plot with special plot characters
- PLOTS - generate a line printer
plot of Y vs X
- PLOTSP - generate a line printer
spectrum plot
- PLOTST - generate a line printer
plot of Y vs X for the terminal (71 characters wide)
- PLOTT - generate a line printer
plot of Y vs X for the terminal (71 characters wide)
- PLOTU - generate a line printer
4-plot
- PLOTX - generate a line printer
run sequence plot
- PLOTXT - generate a line printer
run sequence plot for the terminal (71 characters wide)
- PLOTXX - generate a line printer
lag plot
- PLTSCT - generate a line printer
plot with special plot characters for the terminal
(71 characters wide)
- PLTXXT - generate a line printer
lag plot for the terminal (71 characters wide)
- POICDF - compute the Poisson
cumulative distribution function
- POIPLT - generate a Poisson
probability plot (line printer graph)
- POIPPF - compute the Poisson
percent point function
- POIRAN - generate Poisson
random numbers
- POLY - compute a least squares
polynomial fit (calls DECOMP, INVXWX,DOT, FCDF)
- PROPOR - compute the sample
proportion
- RANGE - compute the sample range
- RANK - rank a vector of sample
observations
- RANPER - generates a random
permutation
- READ - perform a format-free read
of data from a file
- READG - perform a format-free read
of data from a file where read is restricted to
a user-specified set of columns
- RELSD - compute the relative
standard deviation of a vector of observations
- REPLAC - replace all observations
in a vector within a given interval with a user-specified
constant
- RETAIN - retain all observations
in a vector within a user-specified interval
- RUNS - perform a runs test
- SAMPP - compute the sample
100P percent point (i.e., percentile)
- SCALE - compute the sample
range, sample standard deviation, sample relative
standard deviation, and sample variance
- SD - compute the standard deviation
of a vector of observations
- SKIPR - skip over a user-specified
number of rows in reading a data file
- SORTC - sort a vector of sample
observations and "carry" a second a vector
- SORT - sort a vector of sample
observations, also return the positions in the original
vector
- SPCORR - compute the sample
Spearman rank correlation coefficient between two
vectors of observations
- STMOM3 - compute the sample
standardized third central moment (i.e., the
skewness) of a vector of observations
- STMOM4 - compute the sample
standardized fourth central moment (i.e., the
kurtosis) of a vector of observations
- SUBSE1 - extract the elements
of a vector which fall into a user-specified subset
(one subset variable)
- SUBSE2 - extract the elements
of a vector which fall into a user-specified subset
(two subset variables)
- SUBSET - extract the elements
of a vector which fall into a user-specified subset
(one subset variable)
- TAIL - performs a symmetric
distribution tail length analysis
- TCDF - compute the t
cumulative distribution function
- TIME - perform a time series
analysis (autocorrelation plot, a test for white
noise, a "pilot" spectrum, and 4 other estimated
spectra based on differing bandwidth)
- TOL - compute normal and
distribution-free tolerance limits
- TPLT - generate a t
probability plot (line printer graph)
- TPPF - compute the t
percent point function
- TRAN - generate t
random numbers
- UNICDF - compute the Uniform
cumulative distribution function
- UNIMED - generate the N
order statistic medians (used in creating probability
plots)
- UNIPDF - compute the Uniform
probability density function
- UNIPLT - generate a Uniform
probability plot (line printer graph)
- UNIPPF - compute the Uniform
percent point function
- UNIRAN - generate Uniform
random numbers
- UNISF - compute the Uniform
sparsity function
- VAR - compute the sample
variance of a vector of observations
- WEIB - perform a Weibull
distribution analysis (Weibull PPCC analysis)
- WEICDF - compute the Weibull
cumulative distribution function
- WEIPLT - generate a Weibull
probability plot (line printer graph)
- WEIPPF - compute the Weibull
percent point function
- WEIRAN - generate Weibull
random numbers
- WIND - compute the sample
Winsorized mean of a vector of observations
- WRITE - write a vector of
observations in a "neat" fashion
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Date created: 8/11/2004
Last updated: 8/11/2004
Please email comments on this WWW page to
sedwww@nist.gov.
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