[Rd] Asssistance

[Evans Otieno Ochiaga]

Hi to All,

I am building a package in R and whenever I run command "R CMD build OAR"
in the terminal, I get the following error:

* checking for file ‘OAR/DESCRIPTION’ ... OK
* preparing ‘OAR’:
* checking DESCRIPTION meta-information ... ERROR
Malformed Depends or Suggests or Imports or Enhances field.
Offending entries:
  R (>=3.0.2)
Entries must be names of packages optionally followed by '<=' or '>=',
white space, and a valid version number in parentheses.

See the information on DESCRIPTION files in section 'Creating R
packages' of the 'Writing R Extensions' manual.

This is my first time to build a package using R and it's very hard for me
to figure out where the problem is. I kindly call for your assistance in
fixing the problem. Below is my function;

bcidata <- read.csv("~/Desktop/Files_for_Package/data.csv"); bcidata

Modelsfunc<- function(bcidata){

  occupancymean.data.frame <- NULL

  for (k in seq(2.5,250,by=2.5)){

    i <- 1000/k

    j <- 500/k

    bcidata$Xgrid <- cut(bcidata$PX, breaks = i, include.lowest = T)

    bcidata$Ygrid <- cut(bcidata$PY, breaks = j, include.lowest = T)

    bcidata$IDgrid <- with(bcidata, interaction(Xgrid,Ygrid))

    bcidata$IDNgrid <- factor(bcidata$IDgrid)

    levels(bcidata$IDgrid) <- seq_along(levels(bcidata$IDgrid))

    bcidata$count <- ave(bcidata$PX, bcidata$IDgrid, FUN = length)

    aggregate <- aggregate(bcidata$PX,bcidata[,c("Xgrid","Ygrid","IDNgrid")],
FUN = length)

    Totalgrids <- length(levels(bcidata$IDgrid))

    Occupiedgrids <- length(aggregate$IDNgrid)

    sum <- sum(aggregate$x)

    TotalArea <- 500000

    Area <- (1000/i*500/j)

    Occupancy <- (Occupiedgrids/Totalgrids)

    Mean <- length(bcidata$Latin)/(Occupiedgrids)

    Variance <- var(aggregate$x)

    occupancymean.data.frame <- rbind(occupancymean.data.frame,
data.frame(Area, Totalgrids, Occupiedgrids, Occupancy, Mean, Variance))

  }

  occupancymean.data.frame

  Occupancy <- occupancymean.data.frame$Occupancy

  Mean <- occupancymean.data.frame$Mean

  poission <- nls(Occupancy ~ 1-exp(-rho*Mean), start = list(rho = 2.1),
data = occupancymean.data.frame)

  nachman <- nls(Occupancy ~ 1-exp(-alpha*Mean^beta), start = list(alpha =
0.2, beta = 0.1), data = occupancymean.data.frame)

  logistic <- nls(Occupancy ~ (alpha*Mean^beta)/(1+alpha*Mean^beta), start
= list(alpha = 0.2, beta = 0.1),data = occupancymean.data.frame)

  nbd <- nls(Occupancy ~ 1-(1+(Mean)/k)^-k, start = list(k = 1), data =
occupancymean.data.frame)

  power <- nls(Occupancy ~ alpha*Mean^beta, start = list(alpha = 0.2, beta=
0.1), data = occupancymean.data.frame)

  inbd <- nls(Occupancy ~
1-(alpha*(Mean^(beta-1)))^(Mean/(1-alpha*Mean^(beta-1))), start =
list(alpha = 0.2, beta = 0.3),

              data = occupancymean.data.frame)

  fnbd <- nls(Occupancy ~ 1- (gamma(N +
k/(Mean*A/N)-k)*gamma(k/(Mean*A/N)))/(gamma(k/(Mean*A/N)-k)*gamma(N+k/(Mean*A/N))),


              start = list(k = 0.2, A = 0.1, N = 0.2), data =  occupancymean
.data.frame)

  bayesianII <- nls(Occupancy ~ 1-(theta*beta^(2*(TotalArea
*Mean/sum)^0.5)*delta^(TotalArea*Mean/sum)), start = list(theta=0.9956,
beta=1, delta=1), data = occupancymean.data.frame)


  return(list(summary(poission), summary(nachman), summary(logistic),
summary(nbd),

              summary(power), summary(inbd), summary(fnbd), summary(
bayesianII)))

}

Modelsfunc(bcidata)

Your assistance will be highly appreciated. Thanks in advance.

Regards,


*Evans Ochiaga*

*African Institute for Mathematical Sciences*

*6 Melrose Road*

*Muizenberg, South Africa*

*Msc in Mathematical Sciences+27 84 61 69 183 *

*"When I cannot understand my Father’s leading, And it seems to be but hard
and cruel fate, Still I hear that gentle whisper ever pleading, God is
working, God is faithful—Only wait."*

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