CRAN Package Check Results for Package TeachingSampling

Last updated on 2018-06-24 09:49:26 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 3.2.2 3.39 30.06 33.45 ERROR
r-devel-linux-x86_64-debian-gcc 3.2.2 2.17 23.73 25.90 ERROR
r-devel-linux-x86_64-fedora-clang 3.2.2 40.48 NOTE
r-devel-linux-x86_64-fedora-gcc 3.2.2 37.62 NOTE
r-devel-windows-ix86+x86_64 3.2.2 9.00 42.00 51.00 NOTE
r-patched-linux-x86_64 3.2.2 2.44 28.73 31.17 ERROR
r-patched-solaris-x86 3.2.2 56.00 NOTE
r-release-linux-x86_64 3.2.2 3.02 28.65 31.67 ERROR
r-release-windows-ix86+x86_64 3.2.2 8.00 38.00 46.00 NOTE
r-release-osx-x86_64 3.2.2 NOTE
r-oldrel-windows-ix86+x86_64 3.2.2 4.00 43.00 47.00 NOTE
r-oldrel-osx-x86_64 3.2.2 NOTE

Check Details

Version: 3.2.2
Check: R code for possible problems
Result: NOTE
    E.2SI: no visible binding for global variable ‘var’
    E.2SI: no visible global function definition for ‘var’
    E.BE: no visible global function definition for ‘var’
    E.Beta: no visible global function definition for ‘var’
    E.PO: no visible global function definition for ‘var’
    E.PPS: no visible global function definition for ‘var’
    E.SI: no visible global function definition for ‘var’
    E.STPPS: no visible global function definition for ‘var’
    E.STSI: no visible global function definition for ‘var’
    E.STpiPS: no visible global function definition for ‘var’
    E.SY: no visible global function definition for ‘var’
    E.WR: no visible global function definition for ‘var’
    E.piPS: no visible global function definition for ‘var’
    GREG.SI: no visible global function definition for ‘var’
    S.BE: no visible global function definition for ‘runif’
    S.PO: no visible global function definition for ‘runif’
    S.PPS: no visible global function definition for ‘runif’
    S.SI: no visible global function definition for ‘runif’
    S.STPPS: no visible global function definition for ‘runif’
    S.WR: no visible global function definition for ‘rbinom’
    S.piPS: no visible global function definition for ‘runif’
    p.WR: no visible global function definition for ‘dmultinom’
    Undefined global functions or variables:
     dmultinom rbinom runif var
    Consider adding
     importFrom("stats", "dmultinom", "rbinom", "runif", "var")
    to your NAMESPACE file.
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-ix86+x86_64, r-patched-linux-x86_64, r-patched-solaris-x86, r-release-linux-x86_64, r-release-windows-ix86+x86_64, r-release-osx-x86_64, r-oldrel-windows-ix86+x86_64, r-oldrel-osx-x86_64

Version: 3.2.2
Check: examples
Result: ERROR
    Running examples in ‘TeachingSampling-Ex.R’ failed
    The error most likely occurred in:
    
    > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
    > ### Name: HH
    > ### Title: The Hansen-Hurwitz Estimator
    > ### Aliases: HH
    > ### Keywords: survey
    >
    > ### ** Examples
    >
    > ############
    > ## Example 1
    > ############
    > # Vector U contains the label of a population of size N=5
    > U <- c("Yves", "Ken", "Erik", "Sharon", "Leslie")
    > # Vectors y1 and y2 give the values of the variables of interest
    > y1<-c(32, 34, 46, 89, 35)
    > y2<-c(1,1,1,0,0)
    > y3<-cbind(y1,y2)
    > # The population size is N=5
    > N <- length(U)
    > # The sample size is m=2
    > m <- 2
    > # pk is the probability of selection of every single unit
    > pk <- c(0.35, 0.225, 0.175, 0.125, 0.125)
    > # Selection of a random sample with replacement
    > sam <- sample(5,2, replace=TRUE, prob=pk)
    > # The selected sample is
    > U[sam]
    [1] "Yves" "Ken"
    > # The values of the variables of interest for the units in the sample
    > y1[sam]
    [1] 32 34
    > y2[sam]
    [1] 1 1
    > y3[sam,]
     y1 y2
    [1,] 32 1
    [2,] 34 1
    > # The Hansen-Hurwitz estimator
    > HH(y1[sam],pk[sam])
     y
    Estimation 121.26984
    Standard Error 29.84127
    CVE 24.60733
    > HH(y2[sam],pk[sam])
     y
    Estimation 3.6507937
    Standard Error 0.7936508
    CVE 21.7391304
    > HH(y3[sam,],pk[sam])
     y1 y2
    Estimation 121.26984 3.6507937
    Standard Error 29.84127 0.7936508
    CVE 24.60733 21.7391304
    >
    >
    > ############
    > ## Example 2
    > ############
    > # Uses the Lucy data to draw a simple random sample with replacement
    > data(Lucy)
    > attach(Lucy)
    >
    > N <- dim(Lucy)[1]
    > m <- 400
    > sam <- sample(N,m,replace=TRUE)
    > # The vector of selection probabilities of units in the sample
    > pk <- rep(1/N,m)
    > # The information about the units in the sample is stored in an object called data
    > data <- Lucy[sam,]
    > attach(data)
    The following objects are masked from Lucy:
    
     Employees, ID, Income, Level, SPAM, Taxes, Ubication, Zone
    
    > names(data)
    [1] "ID" "Ubication" "Level" "Zone" "Income" "Employees"
    [7] "Taxes" "SPAM"
    > # The variables of interest are: Income, Employees and Taxes
    > # This information is stored in a data frame called estima
    > estima <- data.frame(Income, Employees, Taxes)
    > HH(estima, pk)
     Income Employees Taxes
    Estimation 1.004235e+06 1.496002e+05 26966.980000
    Standard Error 3.128381e+04 3.715376e+03 1779.232304
    CVE 3.115187e+00 2.483536e+00 6.597818
    >
    > ################################################################
    > ## Example 3 HH is unbiased for with replacement sampling designs
    > ################################################################
    >
    > # Vector U contains the label of a population of size N=5
    > U <- c("Yves", "Ken", "Erik", "Sharon", "Leslie")
    > # Vector y1 and y2 are the values of the variables of interest
    > y<-c(32, 34, 46, 89, 35)
    > # The population size is N=5
    > N <- length(U)
    > # The sample size is m=2
    > m <- 2
    > # pk is the probability of selection of every single unit
    > pk <- c(0.35, 0.225, 0.175, 0.125, 0.125)
    > # p is the probability of selection of every possible sample
    > p <- p.WR(N,m,pk)
    > p
     [1] 0.122500 0.157500 0.122500 0.087500 0.087500 0.050625 0.078750 0.056250
     [9] 0.056250 0.030625 0.043750 0.043750 0.015625 0.031250 0.015625
    > sum(p)
    [1] 1
    > # The sample membership matrix for random size without replacement sampling designs
    > Ind <- nk(N,m)
    > Ind
     [,1] [,2] [,3] [,4] [,5]
     [1,] 2 0 0 0 0
     [2,] 1 1 0 0 0
     [3,] 1 0 1 0 0
     [4,] 1 0 0 1 0
     [5,] 1 0 0 0 1
     [6,] 0 2 0 0 0
     [7,] 0 1 1 0 0
     [8,] 0 1 0 1 0
     [9,] 0 1 0 0 1
    [10,] 0 0 2 0 0
    [11,] 0 0 1 1 0
    [12,] 0 0 1 0 1
    [13,] 0 0 0 2 0
    [14,] 0 0 0 1 1
    [15,] 0 0 0 0 2
    > # The support with the values of the elements
    > Qy <- SupportWR(N,m, ID=y)
    Error in if (ID == FALSE) { : the condition has length > 1
    Calls: SupportWR
    Execution halted
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-patched-linux-x86_64, r-release-linux-x86_64