Stixbox
- Stixbox
- stixbox_contents — A statistics toolbox.
- Cumulated Distribution Functions
- pbeta — The beta cumulative distribution function
- pbinom — The binomial cumulative probability function
- pchisq — The chisquare distribution function
- pf — The F (or Fisher Snedecor) cumulative distribution function
- pgamma — The gamma cumulative distribution function
- phypg — The hypergeometric cumulative probability function
- pks — Kolmogorov Smirnov distribution function
- pnorm — The normal cumulative distribution function
- pt — The Student t cumulative distribution function
- Datasets
- getdata — Returns a dataset.
- Graphics
- histo — Plot a histogram
- identify — Identify points on a plot by clicking with the mouse
- linreg — Linear or polynomial regression
- pairs — Pairwise scatter plots
- plotdens — Draw a nonparametric density estimate
- plotsym — Plot with symbols
- qqnorm — Normal probability paper
- qqplot — Plot empirical quantile vs empirical quantile
- stairs — Plots the Empirical Cumulated Distribution.
- Inverse Cumulated Distribution Functions
- qbeta — The beta inverse distribution function
- qbinom — The binomial inverse cdf
- qchisq — The chisquare inverse distribution function
- qf — The F (or Fisher-Snedecor) inverse distribution function
- qgamma — The gamma inverse distribution function
- qhypg — The hypergeometric inverse cdf
- qnorm — The normal inverse distribution function
- qt — The student t inverse distribution function
- Logistic Regression
- lodds — Log odds function
- loddsinv — inverse of log odd
- logitfit — Fit a logistic regression model
- Miscellaneous
- betainc — Incomplete beta function
- betaln — Logarithm of beta function
- bincoef — Binomial coefficients
- ciboot — Various bootstrap confidence intervals
- cov — Covariance matrix
- covboot — Bootstrap estimate of the variance of a parameter estimate
- covjack — Jackknife estimate of the variance of a parameter estimate
- gammainc — The incomplete gamma function.
- polyfit — Polynomial curve fitting
- polyval — Polynomial evaluation
- quantile — Empirical quantile (percentile).
- std — Standard deviation
- stdboot — Bootstrap estimate of the parameter standard deviation
- stdjack — Jackknife estimate of the standard deviation of a parameter estimate
- Probability Distribution Functions
- dbeta — The beta density function
- dbinom — The binomial probability function
- dchisq — The chisquare density function
- df — The F density function
- dgamma — The gamma density function
- dhypg — The hypergeometric probability function
- dnorm — The normal density function
- dt — The student t density function
- Random Numbers
- rbeta — Random numbers from the beta distribution
- rbinom — Random numbers from the binomial distribution (inversion method)
- rboot — Simulate a bootstrap resample from a sample
- rchisq — Random numbers from the chisquare distribution
- rexpweib — Random numbers from the exponential or weibull distributions
- rf — Random numbers from the F distribution (inversion method)
- rgamma — Random numbers from the gamma distribution
- rgeom — Random numbers from the geometric distribution
- rhypg — Random numbers from the hypergeometric distribution
- rnorm — Normal random numbers
- rpoiss — Random numbers from the poisson distribution
- rt — Random numbers from the student t distributio
- Reject Methods
- rjbinom — Random numbers from the binomial distribution (reject method)
- rjgamma — Generates gamma random deviates
- rjpoiss — Random numbers from the poisson distributio
- Tests, confidence intervals and model estimation
- ciquant — Nonparametric confidence interval for quantile
- cmpmod — Compare linear submodel versus larger one
- kstwo — Kolmogorov-Smirnov statistic from two samples
- lsfit — Fit a multiple regression normal model
- lsselect — Select a predictor subset for regression
- test1b — Bootstrap t test and confidence interval for the mean
- test1n — Tests and confidence intervals based on a normal sample
- test1r — Test for median equals 0 using rank test
- test2n — Tests and confidence intervals based on two normal samples with common variance
- test2r — Rank test