CRAN Package Check Results for Package tiger

Last updated on 2014-08-11 15:49:42.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.2.3 1.49 26.13 27.62 ERROR
r-devel-linux-x86_64-debian-gcc 0.2.3.1 1.55 29.54 31.09 OK
r-devel-linux-x86_64-fedora-clang 0.2.3.1 41.56 OK
r-devel-linux-x86_64-fedora-gcc 0.2.3.1 59.99 OK
r-devel-osx-x86_64-clang 0.2.3.1 62.49 OK
r-devel-windows-ix86+x86_64 0.2.3 6.00 35.00 41.00 ERROR
r-patched-linux-x86_64 0.2.3 1.55 29.72 31.26 NOTE
r-patched-solaris-sparc 0.2.3.1 313.70 OK
r-patched-solaris-x86 0.2.3.1 66.40 OK
r-release-linux-ix86 0.2.3 2.33 39.72 42.05 NOTE
r-release-linux-x86_64 0.2.3.1 1.68 30.69 32.36 OK
r-release-osx-x86_64-mavericks 0.2.3 NOTE
r-release-osx-x86_64-snowleopard 0.2.3 NOTE
r-release-windows-ix86+x86_64 0.2.3.1 7.00 56.00 63.00 OK
r-oldrel-windows-ix86+x86_64 0.2.3.1 7.00 63.00 70.00 OK

Check Details

Version: 0.2.3
Check: dependencies in R code
Result: NOTE
    'library' or 'require' calls to packages already attached by Depends:
     ‘e1071’ ‘hexbin’ ‘klaR’ ‘qualV’ ‘som’
     Please remove these calls from your code.
    Packages in Depends field not imported from:
     ‘e1071’ ‘hexbin’ ‘klaR’ ‘qualV’ ‘som’
     These packages need to be imported from (in the NAMESPACE file)
     for when this namespace is loaded but not attached.
    See the information on DESCRIPTION files in the chapter ‘Creating R
    packages’ of the ‘Writing R Extensions’ manual.
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-windows-ix86+x86_64, r-patched-linux-x86_64, r-release-linux-ix86, r-release-osx-x86_64-mavericks

Version: 0.2.3
Check: R code for possible problems
Result: NOTE
    scatterplot: no visible global function definition for ‘splom’
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-windows-ix86+x86_64

Version: 0.2.3
Check: examples
Result: ERROR
    Running examples in ‘tiger-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: plots
    > ### Title: Evaluation plots for temporal dynamics of model performance
    > ### Aliases: box.plots errors.in.time peaks.in.clusters peaks.on.som
    > ### peaks.measures scatterplot p.validityIndex
    > ### Keywords: utilities hplot
    >
    > ### ** Examples
    >
    > data(tiger.example)
    >
    > new.order <- c(6,3,2,5,4,1)
    > correlated <- correlated(tiger.single, keep=c("CE","RMSE" ))
    >
    > opar <- par(mfrow=c(3,5))
    > box.plots(tiger.single, solution=6, new.order=new.order, show.synthetic.peaks=TRUE)
    [1] "A & {\bf best:} r[d]; {\bf worst:} ; {\bf low:} ; {\bf high:} \\"
    [2] "B & {\bf best:} NSC, MRE, RVE, DE, MAOE, MSOE, LCS, RMSOE, RSMSE, RSMSGE, RSMSLE, SMAE, SMAGE, SMALE, SMSE, SMSLE; {\bf worst:} PDIFF, ME, RAE, PEP, MARE, MdAPE, MSRE, CE, IoAd, PI, MSLE, t_test, IRMSE, I, MAGE, MALE, MAPE, RMSGE, RMSLE, GRI, EQ; {\bf low:} r[d]; {\bf high:} \\"
    [3] "C & {\bf best:} AME, MAE, RMSE, R4MS4E, MSDE, CMAE, CMSE, MSE, RCMSE, RSMSE, SMSE; {\bf worst:} MARE, MSRE, Rsqr, MSLE, r[k], MAOE, MAPE, MSOE, LCS, RMSGE, RMSLE, RMSOE, SMAGE, SMALE, GRI; {\bf low:} r[d]; {\bf high:} \\"
    [4] "D & {\bf best:} RAE, PEP, MARE, MdAPE, MSRE, Rsqr, CE, IoAd, PI, MSLE, IRMSE, I, t[L], MAGE, MALE, MAOE, MAPE, MSOE, LCS, RMSGE, RMSLE, RMSOE, RSMSGE, RSMSLE, SMSLE, GRI, EQ; {\bf worst:} NSC, MRE, RVE, DE; {\bf low:} ; {\bf high:} r[d]\\"
    [5] "E & {\bf best:} ; {\bf worst:} ; {\bf low:} ; {\bf high:} \\"
    [6] "F & {\bf best:} PDIFF, ME, t_test, I, r[k]; {\bf worst:} AME, MAE, RMSE, R4MS4E, RVE, Rsqr, MSDE, t[L], DE, CMAE, CMSE, MSE, MSOE, RCMSE, RMSOE, RSMSE, RSMSGE, RSMSLE, SMAE, SMAGE, SMALE, SMSE, SMSLE; {\bf low:} ; {\bf high:} r[d]\\"
    > box.plots(tiger.single, solution=6, new.order=new.order, show.cell=data.frame(x=1,y=1))
    [1] "A & {\bf best:} r[d]; {\bf worst:} ; {\bf low:} ; {\bf high:} \\"
    [2] "B & {\bf best:} NSC, MRE, RVE, DE, MAOE, MSOE, LCS, RMSOE, RSMSE, RSMSGE, RSMSLE, SMAE, SMAGE, SMALE, SMSE, SMSLE; {\bf worst:} PDIFF, ME, RAE, PEP, MARE, MdAPE, MSRE, CE, IoAd, PI, MSLE, t_test, IRMSE, I, MAGE, MALE, MAPE, RMSGE, RMSLE, GRI, EQ; {\bf low:} r[d]; {\bf high:} \\"
    [3] "C & {\bf best:} AME, MAE, RMSE, R4MS4E, MSDE, CMAE, CMSE, MSE, RCMSE, RSMSE, SMSE; {\bf worst:} MARE, MSRE, Rsqr, MSLE, r[k], MAOE, MAPE, MSOE, LCS, RMSGE, RMSLE, RMSOE, SMAGE, SMALE, GRI; {\bf low:} r[d]; {\bf high:} \\"
    [4] "D & {\bf best:} RAE, PEP, MARE, MdAPE, MSRE, Rsqr, CE, IoAd, PI, MSLE, IRMSE, I, t[L], MAGE, MALE, MAOE, MAPE, MSOE, LCS, RMSGE, RMSLE, RMSOE, RSMSGE, RSMSLE, SMSLE, GRI, EQ; {\bf worst:} NSC, MRE, RVE, DE; {\bf low:} ; {\bf high:} r[d]\\"
    [5] "E & {\bf best:} ; {\bf worst:} ; {\bf low:} ; {\bf high:} \\"
    [6] "F & {\bf best:} PDIFF, ME, t_test, I, r[k]; {\bf worst:} AME, MAE, RMSE, R4MS4E, RVE, Rsqr, MSDE, t[L], DE, CMAE, CMSE, MSE, MSOE, RCMSE, RMSOE, RSMSE, RSMSGE, RSMSLE, SMAE, SMAGE, SMALE, SMSE, SMSLE; {\bf low:} ; {\bf high:} r[d]\\"
    > par(opar)
    > errors.in.time(xval=d.dates, result= tiger.single, solution=6,
    + show.months=TRUE, new.order=new.order)
    > peaks.in.clusters(tiger.single, solution=6, new.order=new.order)
    level & 1&2&3&4&5&6 \\
    \hline
    peak size (1) & D&D&D&D&D&D \\
    shift (2) & B&D&D&D&D&B \\
    recession (3) & B&E&D&D&D&D \\
    lag (4) & E&E&D&D&D&D \\
    size./integr (5) & D&D&D&D&D&D \\
    width (6) & E&D&D&D&D&D \\
    false peak (7) & B&B&E&E&E&C \\
    undeteced peak (8) & E&D&D&D&E&E \\
    shift w/o peak (9) & B&E&D&D&D&D \\
    
    
    Cluster & Error & Level\\
    B & shift (2) & 1 6 \\
     & recession (3) & 1 \\
     & false peak (7) & 1 2 \\
     & shift w/o peak (9) & 1 \\
    C & false peak (7) & 6 \\
    D & peak size (1) & 1 2 3 4 5 6 \\
     & shift (2) & 2 3 4 5 \\
     & recession (3) & 3 4 5 6 \\
     & lag (4) & 3 4 5 6 \\
     & size./integr (5) & 1 2 3 4 5 6 \\
     & width (6) & 2 3 4 5 6 \\
     & undeteced peak (8) & 2 3 4 \\
     & shift w/o peak (9) & 3 4 5 6 \\
    E & recession (3) & 2 \\
     & lag (4) & 1 2 \\
     & width (6) & 1 \\
     & false peak (7) & 3 4 5 \\
     & undeteced peak (8) & 1 5 6 \\
     & shift w/o peak (9) & 2 \\
     level 1 level 2 level 3 level 4 level 5 level 6
    peak size (1) 4 4 4 4 4 4
    shift (2) 2 4 4 4 4 2
    recession (3) 2 5 4 4 4 4
    lag (4) 5 5 4 4 4 4
    size./integr (5) 4 4 4 4 4 4
    width (6) 5 4 4 4 4 4
    false peak (7) 2 2 5 5 5 3
    undeteced peak (8) 5 4 4 4 5 5
    shift w/o peak (9) 2 5 4 4 4 4
    > peaks.measures(tiger.single, show.measures=correlated$measures.uniform$to.keep)
    > scatterplot(tiger.single$measures.uniform, show.measures=correlated$measures.uniform$to.keep)
    Error in scatterplot(tiger.single$measures.uniform, show.measures = correlated$measures.uniform$to.keep) :
     could not find function "splom"
    Execution halted
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-windows-ix86+x86_64

Version: 0.2.3
Check: dependencies in R code
Result: NOTE
    'library' or 'require' calls to packages already attached by Depends:
     'e1071' 'hexbin' 'klaR' 'qualV' 'som'
     Please remove these calls from your code.
    See the information on DESCRIPTION files in the chapter 'Creating R
    packages' of the 'Writing R Extensions' manual.
Flavor: r-release-osx-x86_64-snowleopard