Last updated on 2020-02-15 01:01:51 CET.
| Package | ERROR | NOTE |
|---|---|---|
| allan | 3 | 10 |
Current CRAN status: ERROR: 3, NOTE: 10
Version: 1.01
Check: DESCRIPTION meta-information
Result: NOTE
Malformed Description field: should contain one or more complete sentences.
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-devel-windows-ix86+x86_64-gcc8, 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: 1.01
Check: R code for possible problems
Result: NOTE
allanVarSelect: no visible global function definition for 'read.csv'
fitvbiglm: no visible global function definition for 'read.csv'
fitvbiglm: no visible global function definition for 'update'
getbestchunksize: no visible global function definition for 'read.csv'
getbestchunksize: no visible global function definition for
'object.size'
predictvbiglm: no visible global function definition for 'read.csv'
predictvbiglm: no visible global function definition for 'predict'
predictvbiglm: no visible global function definition for
'weighted.mean'
readinbigdata : <anonymous>: no visible global function definition for
'read.csv'
Undefined global functions or variables:
object.size predict read.csv update weighted.mean
Consider adding
importFrom("stats", "predict", "update", "weighted.mean")
importFrom("utils", "object.size", "read.csv")
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-devel-windows-ix86+x86_64-gcc8, 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: 1.01
Check: Rd files
Result: NOTE
prepare_Rd: allan-package.Rd:49-51: Dropping empty section \seealso
prepare_Rd: allanVarSelect.Rd:59-60: Dropping empty section \details
prepare_Rd: allanVarSelect.Rd:66-67: Dropping empty section \references
prepare_Rd: allanVarSelect.Rd:78-79: Dropping empty section \seealso
prepare_Rd: fitvbiglm.Rd:38-39: Dropping empty section \details
prepare_Rd: fitvbiglm.Rd:49-50: Dropping empty section \note
prepare_Rd: fitvbiglm.Rd:43-44: Dropping empty section \references
prepare_Rd: fitvbiglm.Rd:53-54: Dropping empty section \seealso
prepare_Rd: getbestchunksize.Rd:35-36: Dropping empty section \details
prepare_Rd: getbestchunksize.Rd:46-47: Dropping empty section \note
prepare_Rd: getbestchunksize.Rd:40-41: Dropping empty section \references
prepare_Rd: getbestchunksize.Rd:50-51: Dropping empty section \seealso
prepare_Rd: predictvbiglm.Rd:44-45: Dropping empty section \details
prepare_Rd: predictvbiglm.Rd:56-57: Dropping empty section \note
prepare_Rd: predictvbiglm.Rd:50-51: Dropping empty section \references
prepare_Rd: predictvbiglm.Rd:60-61: Dropping empty section \seealso
prepare_Rd: readinbigdata.Rd:42-43: Dropping empty section \note
prepare_Rd: readinbigdata.Rd:45-46: Dropping empty section \seealso
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-devel-windows-ix86+x86_64-gcc8, 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: 1.01
Check: Rd line widths
Result: NOTE
Rd file 'allan-package.Rd':
\examples lines wider than 100 characters:
bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=smallchunk,weights=~cont0)
Rd file 'allanVarSelect.Rd':
\usage lines wider than 90 characters:
allanVarSelect(BaseModel, TrnDataSetFile, ValDataSetFile, ResponseCol = 1, NumOfSteps = 10, criteria = "AIC", currentchunksize = -1, si ... [TRUNCATED]
\examples lines wider than 100 characters:
bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)
Rd file 'fitvbiglm.Rd':
\usage lines wider than 90 characters:
fitvbiglm(BaseModel, filename, currentchunksize = -1, silent = TRUE, MemoryAllowed = 0.5, TestedRows = 1000, AdjFactor = 0.095)
\examples lines wider than 100 characters:
bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)
Rd file 'getbestchunksize.Rd':
\usage lines wider than 90 characters:
getbestchunksize(filename, MemoryAllowed = 0.5, TestedRows = 1000, AdjFactor = 0.095, silent = TRUE)
\examples lines wider than 100 characters:
#This is done by reading in a number of rows(1000 by default)and then measuring the size of the memory
#used. Memory allwed is specified in Gb. The adjfactor is a factor used to adjust memory for overhead
Rd file 'predictvbiglm.Rd':
\usage lines wider than 90 characters:
predictvbiglm(BaseModel, ValFileName, currentchunksize = -1, ResponseCol = 1, silent = TRUE, MemoryAllowed = 0.5, TestedRows = 1000, Ad ... [TRUNCATED]
\examples lines wider than 100 characters:
bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)
predictvbiglm<-function(BaseModel,ValFileName,currentchunksize=-1,ResponseCol=1,silent=TRUE,MemoryAllowed=0.5,TestedRows=1000,AdjFactor ... [TRUNCATED]
currentchunksize<-getbestchunksize(ValFileName,MemoryAllowed=MemoryAllowed,TestedRows=TestedRows,AdjFactor=AdjFactor,si ... [TRUNCATED]
weightvector<-as.vector(eval(parse(text=paste("CurrentDataSet","$",weightname,sep=""))))
CurrentVariance=sum(((CurrentDataSet[,ResponseCol]-CurrentMean)^2)*weightvector)/sum(weightvector)
Rd file 'readinbigdata.Rd':
\examples lines wider than 100 characters:
#The return value is either the next chunk of data or NULL if there is no additional data left.
#Additionally if a reset=TRUE flag is passed, then the data stream goes back to the beginning.
These lines will be truncated in the PDF manual.
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-patched-linux-x86_64, r-release-linux-x86_64
Version: 1.01
Check: examples
Result: ERROR
Running examples in 'allan-Ex.R' failed
The error most likely occurred in:
> ### Name: allanVarSelect
> ### Title: Memory Unlimited Forward Stepwise Variable Selection for Linear
> ### Models
> ### Aliases: allanVarSelect
> ### Keywords: stepwise linear regression memory
>
> ### ** Examples
>
> #Get external data. For your own data skip this next line and replace all
> #instance of SampleData with "YourFile.csv".
> SampleData=system.file("extdata","SampleDataFile.csv", package = "allan")
>
> #fit smaller data to biglm object
> columnnames<-names(read.csv(SampleData, nrows=2,header=TRUE))
> datafeed<-readinbigdata(SampleData,chunksize=1000,col.names=columnnames)
> datafeed(TRUE)
> firstchunk<-datafeed(FALSE)
>
> #create a biglm model from the small chunk with all variables that will be consdered
> #for variable selection.
> bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)
>
> #now run variable selection
> FinalModel<-allanVarSelect(bigmodel,SampleData,SampleData,NumOfSteps=2,criteria="MSE",silent=FALSE)
[1] "Total memory usage for 1000 lines:"
110560 bytes
[1] "Chunksize for dataframe after adjustment factor:"
[1] 429630
[1] "Iterating Through Dataset and Updating Coefficients"
[1] "Iterating Through Dataset and Updating Coefficients"
[1] "Iterating Through Dataset and Updating Coefficients"
[1] "Iterating Through Dataset and Updating Coefficients"
[1] "Iterating Through Dataset and Updating Coefficients"
[1] "Iterating Through Dataset and Updating Coefficients"
[1] "Criteria:MSE"
[1] "Iteration Result"
AICValue BICValue MSEValue
"1529253.65122942" "1529265.34987705" "1.29997019294336e+129"
"cont3" "1"
[1] "Iterating Through Dataset and Updating Coefficients"
[1] "Iterating Through Dataset and Updating Coefficients"
[1] "Iterating Through Dataset and Updating Coefficients"
[1] "Iterating Through Dataset and Updating Coefficients"
[1] "Criteria:MSE"
[1] "Iteration Result"
AICValue BICValue MSEValue
"1529255.65122942" "1529273.19920087" "1.29902541076004e+129"
"cont1" "2"
[1] "Final Results of Variable Selection:"
AICValue BICValue MSEValue
IterationSummary "1529253.65122942" "1529265.34987705" "1.29997019294336e+129"
IterationSummary "1529255.65122942" "1529273.19920087" "1.29902541076004e+129"
IterationSummary "cont3" "1"
IterationSummary "cont1" "2"
[1] "Results Stored in $SelectionSummary"
>
>
>
>
>
>
>
> cleanEx()
Warning in .Internal(gc(verbose, reset, full)) :
closing unused connection 3 (D:/RCompile/CRANpkg/lib/4.0/allan/extdata/SampleDataFile.csv)
Error: connections left open:
D:/RCompile/CRANpkg/lib/4.0/allan/extdata/SampleDataFile.csv (file)
Execution halted
Flavor: r-devel-windows-ix86+x86_64
Version: 1.01
Check: examples
Result: ERROR
Running examples in 'allan-Ex.R' failed
The error most likely occurred in:
> ### Name: allanVarSelect
> ### Title: Memory Unlimited Forward Stepwise Variable Selection for Linear
> ### Models
> ### Aliases: allanVarSelect
> ### Keywords: stepwise linear regression memory
>
> ### ** Examples
>
> #Get external data. For your own data skip this next line and replace all
> #instance of SampleData with "YourFile.csv".
> SampleData=system.file("extdata","SampleDataFile.csv", package = "allan")
>
> #fit smaller data to biglm object
> columnnames<-names(read.csv(SampleData, nrows=2,header=TRUE))
> datafeed<-readinbigdata(SampleData,chunksize=1000,col.names=columnnames)
> datafeed(TRUE)
> firstchunk<-datafeed(FALSE)
>
> #create a biglm model from the small chunk with all variables that will be consdered
> #for variable selection.
> bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)
>
> #now run variable selection
> FinalModel<-allanVarSelect(bigmodel,SampleData,SampleData,NumOfSteps=2,criteria="MSE",silent=FALSE)
[1] "Total memory usage for 1000 lines:"
110560 bytes
[1] "Chunksize for dataframe after adjustment factor:"
[1] 429630
[1] "Iterating Through Dataset and Updating Coefficients"
[1] "Iterating Through Dataset and Updating Coefficients"
[1] "Iterating Through Dataset and Updating Coefficients"
[1] "Iterating Through Dataset and Updating Coefficients"
[1] "Iterating Through Dataset and Updating Coefficients"
[1] "Iterating Through Dataset and Updating Coefficients"
[1] "Criteria:MSE"
[1] "Iteration Result"
AICValue BICValue MSEValue
"1529253.65122942" "1529265.34987705" "1.29997019294336e+129"
"cont3" "1"
[1] "Iterating Through Dataset and Updating Coefficients"
[1] "Iterating Through Dataset and Updating Coefficients"
[1] "Iterating Through Dataset and Updating Coefficients"
[1] "Iterating Through Dataset and Updating Coefficients"
[1] "Criteria:MSE"
[1] "Iteration Result"
AICValue BICValue MSEValue
"1529255.65122942" "1529273.19920087" "1.29902541076004e+129"
"cont1" "2"
[1] "Final Results of Variable Selection:"
AICValue BICValue MSEValue
IterationSummary "1529253.65122942" "1529265.34987705" "1.29997019294336e+129"
IterationSummary "1529255.65122942" "1529273.19920087" "1.29902541076004e+129"
IterationSummary "cont3" "1"
IterationSummary "cont1" "2"
[1] "Results Stored in $SelectionSummary"
>
>
>
>
>
>
>
> cleanEx()
Warning in .Internal(gc(verbose, reset, full)) :
closing unused connection 3 (D:/RCompile/CRANpkg/lib/4.0gcc8/allan/extdata/SampleDataFile.csv)
Error: connections left open:
D:/RCompile/CRANpkg/lib/4.0gcc8/allan/extdata/SampleDataFile.csv (file)
Execution halted
Flavor: r-devel-windows-ix86+x86_64-gcc8
Version: 1.01
Check: examples
Result: ERROR
Running examples in 'allan-Ex.R' failed
The error most likely occurred in:
> ### Name: allanVarSelect
> ### Title: Memory Unlimited Forward Stepwise Variable Selection for Linear
> ### Models
> ### Aliases: allanVarSelect
> ### Keywords: stepwise linear regression memory
>
> ### ** Examples
>
> #Get external data. For your own data skip this next line and replace all
> #instance of SampleData with "YourFile.csv".
> SampleData=system.file("extdata","SampleDataFile.csv", package = "allan")
>
> #fit smaller data to biglm object
> columnnames<-names(read.csv(SampleData, nrows=2,header=TRUE))
> datafeed<-readinbigdata(SampleData,chunksize=1000,col.names=columnnames)
> datafeed(TRUE)
> firstchunk<-datafeed(FALSE)
>
> #create a biglm model from the small chunk with all variables that will be consdered
> #for variable selection.
> bigmodel <- biglm(PurePremium ~ cont1 + cont2 + cont3 + cont4 + cont5,data=firstchunk,weights=~cont0)
>
> #now run variable selection
> FinalModel<-allanVarSelect(bigmodel,SampleData,SampleData,NumOfSteps=2,criteria="MSE",silent=FALSE)
[1] "Total memory usage for 1000 lines:"
110560 bytes
[1] "Chunksize for dataframe after adjustment factor:"
[1] 429630
[1] "Iterating Through Dataset and Updating Coefficients"
[1] "Iterating Through Dataset and Updating Coefficients"
[1] "Iterating Through Dataset and Updating Coefficients"
[1] "Iterating Through Dataset and Updating Coefficients"
[1] "Iterating Through Dataset and Updating Coefficients"
[1] "Iterating Through Dataset and Updating Coefficients"
[1] "Criteria:MSE"
[1] "Iteration Result"
AICValue BICValue MSEValue
"1529253.65122942" "1529265.34987705" "1.29997019294336e+129"
"cont3" "1"
[1] "Iterating Through Dataset and Updating Coefficients"
[1] "Iterating Through Dataset and Updating Coefficients"
[1] "Iterating Through Dataset and Updating Coefficients"
[1] "Iterating Through Dataset and Updating Coefficients"
[1] "Criteria:MSE"
[1] "Iteration Result"
AICValue BICValue MSEValue
"1529255.65122942" "1529273.19920087" "1.29902541076004e+129"
"cont1" "2"
[1] "Final Results of Variable Selection:"
AICValue BICValue MSEValue
IterationSummary "1529253.65122942" "1529265.34987705" "1.29997019294336e+129"
IterationSummary "1529255.65122942" "1529273.19920087" "1.29902541076004e+129"
IterationSummary "cont3" "1"
IterationSummary "cont1" "2"
[1] "Results Stored in $SelectionSummary"
>
>
>
>
>
>
>
> cleanEx()
Warning in .Internal(gc(verbose, reset, full)) :
closing unused connection 3 (D:/temp/RtmpEXJDeJ/RLIBS_1508014a15e93/allan/extdata/SampleDataFile.csv)
Error: connections left open:
D:/temp/RtmpEXJDeJ/RLIBS_1508014a15e93/allan/extdata/SampleDataFile.csv (file)
Execution halted
Flavor: r-release-windows-ix86+x86_64