Last updated on 2020-02-19 10:48:51 CET.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.52 | 36.60 | 96.45 | 133.05 | ERROR | |
| r-devel-linux-x86_64-debian-gcc | 0.52 | 25.24 | 73.41 | 98.65 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 0.52 | 165.75 | ERROR | |||
| r-devel-linux-x86_64-fedora-gcc | 0.52 | 158.83 | ERROR | |||
| r-devel-windows-ix86+x86_64 | 0.52 | 73.00 | 142.00 | 215.00 | OK | |
| r-devel-windows-ix86+x86_64-gcc8 | 0.52 | 120.00 | 216.00 | 336.00 | OK | |
| r-patched-linux-x86_64 | 0.52 | 29.44 | 79.89 | 109.33 | OK | |
| r-patched-solaris-x86 | 0.52 | 203.10 | OK | |||
| r-release-linux-x86_64 | 0.52 | 31.16 | 80.35 | 111.51 | OK | |
| r-release-windows-ix86+x86_64 | 0.52 | 72.00 | 126.00 | 198.00 | OK | |
| r-release-osx-x86_64 | 0.52 | OK | ||||
| r-oldrel-windows-ix86+x86_64 | 0.52 | 55.00 | 129.00 | 184.00 | OK | |
| r-oldrel-osx-x86_64 | 0.52 | OK |
Version: 0.52
Check: examples
Result: ERROR
Running examples in 'EBMAforecast-Ex.R' failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: plot,FDatFitLogit-method
> ### Title: Plotting function for ensemble models of the class
> ### "FDatFitLogit" or "FDatFitNormal", which are the objects created by
> ### the 'calibrateEnsemble()' function.
> ### Aliases: plot,FDatFitLogit-method plot,FDatFitNormal-method
>
> ### ** Examples
>
> data(calibrationSample)
>
> data(testSample)
>
> this.ForecastData <- makeForecastData(.predCalibration=calibrationSample[,c("LMER", "SAE", "GLM")],
+ .outcomeCalibration=calibrationSample[,"Insurgency"],.predTest=testSample[,c("LMER", "SAE", "GLM")],
+ .outcomeTest=testSample[,"Insurgency"], .modelNames=c("LMER", "SAE", "GLM"))
----------- FAILURE REPORT --------------
--- failure: the condition has length > 1 ---
--- srcref ---
:
--- package (from environment) ---
EBMAforecast
--- call from context ---
.local(.predCalibration, .predTest, .outcomeCalibration, .outcomeTest,
.modelNames, ...)
--- call from argument ---
if (class(.predCalibration) == "data.frame") {
.predCalibration <- as.matrix(.predCalibration)
}
--- R stacktrace ---
where 1: .local(.predCalibration, .predTest, .outcomeCalibration, .outcomeTest,
.modelNames, ...)
where 2: makeForecastData(.predCalibration = calibrationSample[, c("LMER",
"SAE", "GLM")], .outcomeCalibration = calibrationSample[,
"Insurgency"], .predTest = testSample[, c("LMER", "SAE",
"GLM")], .outcomeTest = testSample[, "Insurgency"], .modelNames = c("LMER",
"SAE", "GLM"))
where 3: makeForecastData(.predCalibration = calibrationSample[, c("LMER",
"SAE", "GLM")], .outcomeCalibration = calibrationSample[,
"Insurgency"], .predTest = testSample[, c("LMER", "SAE",
"GLM")], .outcomeTest = testSample[, "Insurgency"], .modelNames = c("LMER",
"SAE", "GLM"))
--- value of length: 2 type: logical ---
[1] FALSE FALSE
--- function from context ---
function (.predCalibration, .predTest, .outcomeCalibration, .outcomeTest,
.modelNames)
{
if (class(.predCalibration) == "data.frame") {
.predCalibration <- as.matrix(.predCalibration)
}
if (class(.predTest) == "data.frame") {
.predTest <- as.matrix(.predTest)
}
if (class(.predCalibration) == "matrix") {
.predCalibration <- array(.predCalibration, dim = c(nrow(.predCalibration),
ncol(.predCalibration), 1))
}
if (class(.predTest) == "matrix") {
.predTest <- array(.predTest, dim = c(nrow(.predTest),
ncol(.predTest), 1))
}
if (length(.modelNames) < ncol(.predCalibration)) {
.modelNames <- paste("Model", 1:ncol(.predCalibration))
}
if (length(.predCalibration) > 0) {
colnames(.predCalibration) <- .modelNames
rownames(.predCalibration) <- 1:nrow(.predCalibration)
}
if (length(.predTest) > 0) {
colnames(.predTest) <- .modelNames
rownames(.predTest) <- 1:nrow(.predTest)
}
if (length(.outcomeCalibration > 0)) {
names(.outcomeCalibration) <- 1:length(.outcomeCalibration)
}
if (length(.outcomeTest > 0)) {
names(.outcomeTest) <- 1:length(.outcomeTest)
}
return(new("ForecastData", predCalibration = .predCalibration,
predTest = .predTest, outcomeCalibration = .outcomeCalibration,
outcomeTest = .outcomeTest, modelNames = .modelNames))
}
<environment: namespace:EBMAforecast>
--- function search by body ---
----------- END OF FAILURE REPORT --------------
Error in if (class(.predCalibration) == "data.frame") { :
the condition has length > 1
Calls: makeForecastData -> makeForecastData -> .local
Execution halted
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Version: 0.52
Check: compiled code
Result: NOTE
File ‘EBMAforecast/libs/EBMAforecast.so’:
Found no calls to: ‘R_registerRoutines’, ‘R_useDynamicSymbols’
It is good practice to register native routines and to disable symbol
search.
See ‘Writing portable packages’ in the ‘Writing R Extensions’ manual.
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Version: 0.52
Check: examples
Result: ERROR
Running examples in ‘EBMAforecast-Ex.R’ failed
The error most likely occurred in:
> ### Name: plot,FDatFitLogit-method
> ### Title: Plotting function for ensemble models of the class
> ### "FDatFitLogit" or "FDatFitNormal", which are the objects created by
> ### the 'calibrateEnsemble()' function.
> ### Aliases: plot,FDatFitLogit-method plot,FDatFitNormal-method
>
> ### ** Examples
>
> data(calibrationSample)
>
> data(testSample)
>
> this.ForecastData <- makeForecastData(.predCalibration=calibrationSample[,c("LMER", "SAE", "GLM")],
+ .outcomeCalibration=calibrationSample[,"Insurgency"],.predTest=testSample[,c("LMER", "SAE", "GLM")],
+ .outcomeTest=testSample[,"Insurgency"], .modelNames=c("LMER", "SAE", "GLM"))
----------- FAILURE REPORT --------------
--- failure: the condition has length > 1 ---
--- srcref ---
:
--- package (from environment) ---
EBMAforecast
--- call from context ---
.local(.predCalibration, .predTest, .outcomeCalibration, .outcomeTest,
.modelNames, ...)
--- call from argument ---
if (class(.predCalibration) == "data.frame") {
.predCalibration <- as.matrix(.predCalibration)
}
--- R stacktrace ---
where 1: .local(.predCalibration, .predTest, .outcomeCalibration, .outcomeTest,
.modelNames, ...)
where 2: makeForecastData(.predCalibration = calibrationSample[, c("LMER",
"SAE", "GLM")], .outcomeCalibration = calibrationSample[,
"Insurgency"], .predTest = testSample[, c("LMER", "SAE",
"GLM")], .outcomeTest = testSample[, "Insurgency"], .modelNames = c("LMER",
"SAE", "GLM"))
where 3: makeForecastData(.predCalibration = calibrationSample[, c("LMER",
"SAE", "GLM")], .outcomeCalibration = calibrationSample[,
"Insurgency"], .predTest = testSample[, c("LMER", "SAE",
"GLM")], .outcomeTest = testSample[, "Insurgency"], .modelNames = c("LMER",
"SAE", "GLM"))
--- value of length: 2 type: logical ---
[1] FALSE FALSE
--- function from context ---
function (.predCalibration, .predTest, .outcomeCalibration, .outcomeTest,
.modelNames)
{
if (class(.predCalibration) == "data.frame") {
.predCalibration <- as.matrix(.predCalibration)
}
if (class(.predTest) == "data.frame") {
.predTest <- as.matrix(.predTest)
}
if (class(.predCalibration) == "matrix") {
.predCalibration <- array(.predCalibration, dim = c(nrow(.predCalibration),
ncol(.predCalibration), 1))
}
if (class(.predTest) == "matrix") {
.predTest <- array(.predTest, dim = c(nrow(.predTest),
ncol(.predTest), 1))
}
if (length(.modelNames) < ncol(.predCalibration)) {
.modelNames <- paste("Model", 1:ncol(.predCalibration))
}
if (length(.predCalibration) > 0) {
colnames(.predCalibration) <- .modelNames
rownames(.predCalibration) <- 1:nrow(.predCalibration)
}
if (length(.predTest) > 0) {
colnames(.predTest) <- .modelNames
rownames(.predTest) <- 1:nrow(.predTest)
}
if (length(.outcomeCalibration > 0)) {
names(.outcomeCalibration) <- 1:length(.outcomeCalibration)
}
if (length(.outcomeTest > 0)) {
names(.outcomeTest) <- 1:length(.outcomeTest)
}
return(new("ForecastData", predCalibration = .predCalibration,
predTest = .predTest, outcomeCalibration = .outcomeCalibration,
outcomeTest = .outcomeTest, modelNames = .modelNames))
}
<environment: namespace:EBMAforecast>
--- function search by body ---
----------- END OF FAILURE REPORT --------------
Error in if (class(.predCalibration) == "data.frame") { :
the condition has length > 1
Calls: makeForecastData -> makeForecastData -> .local
Execution halted
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc