# R/eval.func.1D.R In denpro: Visualization of Multivariate Functions, Sets, and Data

#### Defines functions eval.func.1D

```eval.func.1D<-function(func,N,support=NULL,g=1,std=1,distr=FALSE,
M=NULL,sig=NULL,p=NULL,a=0.5,b=0.5,d=2)
{
if (func=="gauss"){
norma<-(2*pi)^(-1/2)
funni<-function(t){ fu<-exp(-t^2/2); return( norma*fu ) }
}
if (func=="polynomial"){
support<-c(-std,std)
norma<-(2*(1-1/(g+1)))^(-1)
funni<-function(t){ fu<-1-abs(t)^g; return( norma*fu ) }
}
if (func=="student"){
norma<-gamma((g+1)/2)/((g*pi)^(1/2)*gamma(g/2))
funni<-function(t){ fu<-(1+t^2/g)^(-(g+1)/2); return( norma*fu ) }
#y<-dt(x,df=g)
}
if (func=="exponential"){
norma<-1/2
funni<-function(t){ fu<-exp(-abs(t)); return( norma*fu ) }
}
if (func=="exponential"){
norma<-1/2
funni<-function(t){ fu<-exp(-abs(t)); return( norma*fu ) }
}
if (func=="mixt"){
funni<-function(t){
mixnum<-length(p)
val<-0
for (mi in 1:mixnum){
evapoint<-(t-M[mi])/sig[mi]
val<-val+p[mi]*evanor(evapoint)/sig[mi]
}
return( val )
}
}
if (func=="hat"){
normavak<-((2*pi)^d*(a^(-d)-b))^(-1)
norma<-normavak*(2*pi)^((d-1)/2)
funni<-function(t){  #(t,a,b,d,...){
fu<-a^(1-d)*exp(-a^2*t^2)-b*exp(-t^2/2); return( norma*fu ) }
}

if (is.null(support)) support<-c(-1,1)

value<-matrix(0,N,1)
step<-(support[2]-support[1])/N
lowsuppo<-support[1]

if (!distr){
for (i in 1:N){
inde<-i
t<-lowsuppo+step*inde-step/2
value[i]<-funni(t/std)/std
}
}
else{
inde<-1
t<-lowsuppo+step*inde-step/2
value[1]<-step*funni(t/std)/std
for (i in 2:N){
inde<-i
t<-lowsuppo+step*inde-step/2
value[i]<-value[i-1]+step*funni(t/std)/std
#funni(t/std,g=g,a=a,b=b,d=d)/std
}
}

index<-seq(1:N)
len<-length(index)
down<-matrix(0,len,1)
high<-matrix(0,len,1)
down[,1]<-index-1
high[,1]<-index

res<-list(
value=value,
down=down,high=high,
#down=index-1,high=index,
support=support,N=N)

return(res)
}

```

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denpro documentation built on May 29, 2017, 11:06 p.m.