Parameter-adjusted extended Zipf's law. Considers four link functions (linear, logarithmic, exponential, and power) and selects the optimal model for adjustment. Adjustment by hand of the selected model parameters is possible by means of the parameters f and g. Z is estimated by requiring that V(N) . For a detailed description of the output files, see lnreZipf.
input
text.spc: the frequency spectrum
text.obs should be available in the working directory.
options
-h: display on-line help
-mU: number of frequency ranks m in the fit is set to U (default: 15)
-kV: number of chunks for interpolation is set to V (default: 20)
-KW: number of chunks for extrapolation is set to W (default: 20)
-EX: extrapolation sample size is set to X (default: 2N_0)
-H: input file has no header (default: with header)
-fY: adjust intercept of link function by Y
-gZ: adjust slope of link function by Z
output
text_aZ.spc: expected frequency spectrum
text_aZ.sp2: expected frequency spectrum at 2N_0
text_aZ.ev2: V(N_0), E[V(N_0)] and E[V(2N_0)]
text_aZ.int: interpolation statistics
text_aZ.ext: extrapolation statistics
text_aZ.sum: summary of main statistics
text_aZ.fit: observed and expected developmental profiles of Z
text_aZ.sta: statistics for the goodness-of-fit of the link function
t: the t-statistic
r: the Pearson correlation r
a: the intercept of the (transformed) linear fit
b: the slope of the (transformed) linear fit
obs: linear link c(N)=a+bN
log: logarithmic link c(N)=a + b log(N)
exp: exponential link c(N)=e^{a + bN}
pow: power link c(N)=e^{a + b log(N)}