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 | 
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