Dear R gurus,
I have the following code, but I still not know how to estimate and extract
confidence intervals (95%CI) from resampling.
Thanks!
~Adriana
#data
penta<-c(770,729,640,486,450,410,400,340,306,283,278,260,253,242,240,229,201,198,190,186,180,170,168,151,150,148,147,125,117,110,107,104
Dear R gurus,
I have the following x (conc)-y (rk) data.
rk<-c(0.016,0.032,0.048,0.095,0.111,0.143,0.190,0.206,0.222,0.270,0.286,0.302,0.317,0.381,0.397,0.444,0.460,
0.476,0.492,0.508,0.524,0.540,0.556,0.651,0.698,0.714,0.810,0.825,0.841,0.921,0.937,0.952,0.968,0.984,1.000)
cc<-c(0.4,0.53,1,1.5
Hi,
I have written the following code which works fine
step<-5
numSim<-15
N<-double(numSim)
A<-double(numSim)
F<-double(numSim)
M<-double(numSim)
genx<-double(numSim)
for (i in 1:numSim) {
N[i]<-20
PN<-(runif(N[i], 0, 1))
A[i]<-sum(ifelse(PN>0.2, 1, 0))
PF<- runif((A[i]*0.5
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