Routine Name |
Mark of Introduction |
Purpose |
G01AAF Example Text Example Data |
4 | Mean, variance, skewness, kurtosis, etc., one variable, from raw data |
G01ABF Example Text Example Data |
4 | Mean, variance, skewness, kurtosis, etc., two variables, from raw data |
G01ADF Example Text Example Data |
4 | Mean, variance, skewness, kurtosis, etc., one variable, from frequency table |
G01AEF Example Text Example Data |
4 | Frequency table from raw data |
G01AFF Example Text Example Data |
4 | Two-way contingency table analysis, with χ2/Fisher's exact test |
G01AGF Example Text Example Data |
8 | Lineprinter scatterplot of two variables |
G01AHF Example Text Example Data |
8 | Lineprinter scatterplot of one variable against Normal scores |
G01AJF Example Text Example Data |
10 | Lineprinter histogram of one variable |
G01ALF Example Text Example Data |
14 | Computes a five-point summary (median, hinges and extremes) |
G01ARF Example Text Example Data |
14 | Constructs a stem and leaf plot |
G01ASF Example Text Example Data |
14 | Constructs a box and whisker plot |
G01BJF Example Text Example Data |
13 | Binomial distribution function |
G01BKF Example Text Example Data |
13 | Poisson distribution function |
G01BLF Example Text Example Data |
13 | Hypergeometric distribution function |
G01DAF Example Text |
8 | Normal scores, accurate values |
G01DBF Example Text |
12 | Normal scores, approximate values |
G01DCF Example Text |
12 | Normal scores, approximate variance-covariance matrix |
G01DDF Example Text Example Data |
12 | Shapiro and Wilk's W test for Normality |
G01DHF Example Text Example Data |
15 | Ranks, Normal scores, approximate Normal scores or exponential (Savage) scores |
G01EAF Example Text Example Data |
15 | Computes probabilities for the standard Normal distribution |
G01EBF Example Text Example Data |
14 | Computes probabilities for Student's t-distribution |
G01ECF Example Text Example Data |
14 | Computes probabilities for χ2 distribution |
G01EDF Example Text Example Data |
14 | Computes probabilities for F-distribution |
G01EEF Example Text Example Data |
14 | Computes upper and lower tail probabilities and probability density function for the beta distribution |
G01EFF Example Text Example Data |
14 | Computes probabilities for the gamma distribution |
G01EMF Example Text Example Data |
15 | Computes probability for the Studentized range statistic |
G01EPF Example Text Example Data |
15 | Computes bounds for the significance of a Durbin–Watson statistic |
G01ERF Example Text Example Data |
16 | Computes probability for von Mises distribution |
G01ETF Example Text Example Data |
21 | Landau distribution function Φ (λ) |
G01EUF Example Text Example Data |
21 | Vavilov distribution function ΦV(λ;κ,β2) |
G01EYF Example Text Example Data |
14 | Computes probabilities for the one-sample Kolmogorov–Smirnov distribution |
G01EZF Example Text Example Data |
14 | Computes probabilities for the two-sample Kolmogorov–Smirnov distribution |
G01FAF Example Text Example Data |
15 | Computes deviates for the standard Normal distribution |
G01FBF Example Text Example Data |
14 | Computes deviates for Student's t-distribution |
G01FCF Example Text Example Data |
14 | Computes deviates for the χ2 distribution |
G01FDF Example Text Example Data |
14 | Computes deviates for the F-distribution |
G01FEF Example Text Example Data |
14 | Computes deviates for the beta distribution |
G01FFF Example Text Example Data |
14 | Computes deviates for the gamma distribution |
G01FMF Example Text Example Data |
15 | Computes deviates for the Studentized range statistic |
G01FTF Example Text Example Data |
21 | Landau inverse function Ψ(x) |
G01GBF Example Text Example Data |
14 | Computes probabilities for the non-central Student's t-distribution |
G01GCF Example Text Example Data |
14 | Computes probabilities for the non-central χ2 distribution |
G01GDF Example Text Example Data |
14 | Computes probabilities for the non-central F-distribution |
G01GEF Example Text Example Data |
14 | Computes probabilities for the non-central beta distribution |
G01HAF Example Text Example Data |
14 | Computes probability for the bivariate Normal distribution |
G01HBF Example Text Example Data |
15 | Computes probabilities for the multivariate Normal distribution |
G01JCF Example Text Example Data |
14 | Computes probability for a positive linear combination of χ2 variables |
G01JDF Example Text Example Data |
15 | Computes lower tail probability for a linear combination of (central) χ2 variables |
G01MBF Example Text Example Data |
15 | Computes reciprocal of Mills' Ratio |
G01MTF Example Text Example Data |
21 | Landau density function φ (λ) |
G01MUF Example Text Example Data |
21 | Vavilov density function φV (λ;κ,β2) |
G01NAF Example Text Example Data |
16 | Cumulants and moments of quadratic forms in Normal variables |
G01NBF Example Text Example Data |
16 | Moments of ratios of quadratic forms in Normal variables, and related statistics |
G01PTF Example Text Example Data |
21 | Landau first moment function Φ1(x) |
G01QTF Example Text Example Data |
21 | Landau second moment function Φ2(x) |
G01RTF Example Text Example Data |
21 | Landau derivative function φ′(λ) |
G01ZUF | 21 | Initialization routine for G01MUF and G01EUF |