CRAN Package Check Results for Package intamap

Last updated on 2020-08-07 01:49:49 CEST.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.4-9 10.96 156.47 167.43 OK
r-devel-linux-x86_64-debian-gcc 1.4-9 10.65 116.58 127.23 OK
r-devel-linux-x86_64-fedora-clang 1.4-9 208.19 OK
r-devel-linux-x86_64-fedora-gcc 1.4-9 205.03 OK
r-devel-windows-ix86+x86_64 1.4-9 29.00 149.00 178.00 OK
r-patched-linux-x86_64 1.4-9 12.22 152.18 164.40 OK
r-patched-solaris-x86 1.4-9 312.00 ERROR
r-release-linux-x86_64 1.4-9 12.76 153.37 166.13 OK
r-release-macos-x86_64 1.4-9 OK
r-release-windows-ix86+x86_64 1.4-9 27.00 215.00 242.00 OK
r-oldrel-macos-x86_64 1.4-9 OK
r-oldrel-windows-ix86+x86_64 1.4-9 17.00 138.00 155.00 OK

Check Details

Version: 1.4-9
Check: tests
Result: ERROR
     Running ‘anisotropyTest.R’ [38s/46s]
     Running ‘block.R’
     Running ‘idw.R’
     Running ‘interpolate.R’ [15s/16s]
     Running ‘interpolateBlock.R’ [9s/11s]
     Running ‘javaR.R’
     Running ‘linearVariogram.R’
     Running ‘minimal.R’
     Running ‘transGaussian.R’ [9s/11s]
     Running ‘unbiased.R’ [8s/11s]
    Running the tests in ‘tests/idw.R’ failed.
    Complete output:
     > library(intamap)
     Loading required package: sp
     >
     > set.seed(13131)
     >
     > # set up data:
     > data(meuse)
     > coordinates(meuse) = ~x+y
     > meuse$value = log(meuse$zinc)
     > data(meuse.grid)
     > gridded(meuse.grid) = ~x+y
     > proj4string(meuse) = CRS("+init=epsg:28992")
     > proj4string(meuse.grid) = CRS("+init=epsg:28992")
     >
     > # set up intamap object:
     > idwObject = createIntamapObject(
     + observations = meuse,
     + formulaString=as.formula(zinc~1),
     + predictionLocations = meuse.grid,
     + targetCRS = "+init=epsg:3035",
     + constantBias = 0,
     + classes = "idw"
     + )
     >
     > # run test:
     > checkSetup(idwObject)
     Checking object ... OK
     >
     > # do interpolation steps:
     > idwObject = preProcess(idwObject)
     > idwObject = estimateParameters(idwObject, idpRange = seq(0.25,2.75,.5), nfold=3) # faster
     [1] "best idp value found is 2.25 rmse 272.204794157114"
     > idwObject = spatialPredict(idwObject)
     > idwObject = postProcess(idwObject)
     Error in project(t(bbox(obj))[, 1:2], tg, inv = TRUE, use_aoi = FALSE) :
     is.character(proj) is not TRUE
     Calls: postProcess ... spTransform -> spTransform -> get_aoi -> project -> stopifnot
     In addition: Warning messages:
     1: In spTransform(object$predictions, CRS(object$targetCRS)) :
     Grid warping not available, coercing to points
     2: In wkt(obj) : CRS object has no comment
     3: In wkt(CRS(tg)) : CRS object has no comment
     Execution halted
    Running the tests in ‘tests/linearVariogram.R’ failed.
    Complete output:
     > library(intamap)
     Loading required package: sp
     >
     > # set up data:
     > data(meuse)
     > coordinates(meuse) = ~x+y
     > meuse$value = log(meuse$zinc)
     > data(meuse.grid)
     > gridded(meuse.grid) = ~x+y
     > proj4string(meuse) = CRS("+init=epsg:28992")
     > proj4string(meuse.grid) = CRS("+init=epsg:28992")
     > set.seed(13531)
     >
     > mgrid = coarsenGrid(meuse.grid,4)
     > # set up intamap object:
     > obj = createIntamapObject(
     + observations = meuse,
     + predictionLocations = mgrid,
     + targetCRS = "+init=epsg:3035",
     + params = list(predictType=list(quantiles=c(0.05,0.5,0.95)),thresh=c(5.5,6.6)),
     + outputWhat = list(mean = 1,
     + variance = 1,
     + quantile = 0.05,
     + quantile = 0.5,
     + quantile = 0.95,
     + excprob = 5.5,
     + excprob = 6.6,
     + cumdistr = 5.5,
     + cumdistr = 6.6,
     + cumdistr = 7.9)
     + )
     [1] "createIntamapObject: formulaString is missing, using: value~1"
     > class(obj) = "linearVariogram"
     >
     > # check:
     > checkSetup(obj)
     Checking object ... OK
     >
     > # do interpolation steps:
     > obj = preProcess(obj)
     > obj = estimateParameters(obj)
     > obj = spatialPredict(obj)
     > obj = postProcess(obj)
     Error in project(t(bbox(obj))[, 1:2], tg, inv = TRUE, use_aoi = FALSE) :
     is.character(proj) is not TRUE
     Calls: postProcess ... spTransform -> spTransform -> get_aoi -> project -> stopifnot
     In addition: Warning messages:
     1: In spTransform(object$predictions, CRS(object$targetCRS)) :
     Grid warping not available, coercing to points
     2: In wkt(obj) : CRS object has no comment
     3: In wkt(CRS(tg)) : CRS object has no comment
     Execution halted
Flavor: r-patched-solaris-x86