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."* [[alternative HTML version deleted]] ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel