Lezione 2. Densità di probabilità

%Elenco di comandi pertinenti:

Beta(stats)             The Beta Distribution
Binomial(stats)         The Binomial Distribution
Cauchy(stats)           The Cauchy Distribution
Chisquare(stats)        The (non-central) Chi-Squared Distribution
Exponential(stats)      The Exponential Distribution
FDist(stats)            The F Distribution
GammaDist(stats)        The Gamma Distribution
Geometric(stats)        The Geometric Distribution
Hypergeometric(stats)   The Hypergeometric Distribution
Logistic(stats)         The Logistic Distribution
Lognormal(stats)        The Log Normal Distribution
Multinomial(stats)      The Multinomial Distribution
NegBinomial(stats)      The Negative Binomial Distribution
Normal(stats)           The Normal Distribution
Poisson(stats)          The Poisson Distribution
SignRank(stats)         Distribution of the Wilcoxon Signed Rank
                        Statistic
TDist(stats)            The Student t Distribution
Tukey(stats)            The Studentized Range Distribution
Uniform(stats)          The Uniform Distribution
Weibull(stats)          The Weibull Distribution
Wilcoxon(stats)         Distribution of the Wilcoxon Rank Sum Statistic
ecdf(stats)   


%prove eseguite in aula:


x<-matrix(nrow = 100)

for(k in 1:100) {

x[k] <- k/100*8-4

}

f<-dnorm(x,mean=0, sd=1)
plot(x,f)

F<-pnorm(x,mean=0, sd=1)
plot(x,F)

X <- rnorm(1000, mean=0, sd=1)
plot(X)
hist(X,20)


f.c<-dcauchy(x, location = 0, scale = 1)
plot(x,f.c)

X.c<- rcauchy(100, location = 0, scale = 1)
plot(X.c)
hist(X.c,20)


f.w<-dweibull(x,1,1)
plot(x,f.w)

f.w<-dweibull(x,3,1)
plot(x,f.w)