Last updated on 2018-09-23 07:48:27 CEST.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.7.1 | 27.03 | 265.13 | 292.16 | ERROR | |
| r-devel-linux-x86_64-debian-gcc | 0.7.1 | 25.65 | 204.52 | 230.17 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 0.7.1 | 343.05 | ERROR | |||
| r-devel-linux-x86_64-fedora-gcc | 0.7.1 | 334.31 | ERROR | |||
| r-devel-windows-ix86+x86_64 | 0.7.1 | 65.00 | 339.00 | 404.00 | ERROR | |
| r-patched-linux-x86_64 | 0.7.1 | 27.94 | 241.69 | 269.63 | OK | |
| r-patched-solaris-x86 | 0.7.1 | 3.80 | ERROR | |||
| r-release-linux-x86_64 | 0.7.1 | 29.95 | 241.41 | 271.36 | OK | |
| r-release-windows-ix86+x86_64 | 0.7.1 | 49.00 | 329.00 | 378.00 | OK | |
| r-release-osx-x86_64 | 0.7.1 | OK | ||||
| r-oldrel-windows-ix86+x86_64 | 0.7.1 | 26.00 | 365.00 | 391.00 | OK | |
| r-oldrel-osx-x86_64 | 0.7.1 | OK |
Version: 0.7.1
Check: examples
Result: ERROR
Running examples in ‘userfriendlyscience-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: userfriendlyscience-package
> ### Title: Userfriendlyscience (UFS)
> ### Aliases: userfriendlyscience-package userfriendlyscience ufs UFS
> ### Keywords: package
>
> ### ** Examples
>
> ### Create simple dataset
> dat <- PlantGrowth[1:20,];
> ### Remove third level from group factor
> dat$group <- factor(dat$group);
>
> ### Examine normality
> normalityAssessment(dat$weight);
## SAMPLE DISTRIBUTION ###
Sample distribution of 20 observations
Mean=4.85, median=4.75, SD=0.7, and therefore SE of the mean = 0.16
Skewness (G1): 0.23 (se = 0.51, confidence interval = [-0.77, 1.23], z = 0.45, p = .65)
Kurtosis (G2): -0.57 (se = 0.99, confidence interval = [-2.5, 1.4], z = -0.57, p = .57)
Hartigans' Dip Test: 0.06, p = .73
Shapiro-Wilk: p=0.82 (W=0.97; based on 20 observations)
Anderson-Darling: p=0.87 (A=0.2)
Kolmogorov-Smirnof: p=0 (D=1)
## SAMPLING DISTRIBUTION FOR THE MEAN ###
Sampling distribution of 10000 samples of n=20
Mean=4.85, median=4.84, SD=0.15
Skewness (G1): 0.05 (se = 0.51, confidence interval = [-0.95, 1.06], z = 0.1, p = .92)
Kurtosis (G2): 0.05 (se = 0.99, confidence interval = [-1.9, 2.0], z = 0.048, p = .96)
Hartigans' Dip Test: 0, p = .99
Shapiro-Wilk: p=0.38 (W=1; NOTE: based on the first 5000 of 10000 observations)
Anderson-Darling: p=0.26 (A=0.46)
Kolmogorov-Smirnof: p=0 (D=1)>
> ### Compute mean difference and show it
> meanDiff(dat$weight ~ dat$group, plot=TRUE);
Input variables:
group (grouping variable)
weight (dependent variable)
Mean 1 (ctrl) = 5.03, sd = 0.58, n = 10
Mean 2 (trt1)= 4.66, sd = 0.79, n = 10
Independent samples t-test (tested for equal variances, p = .372, so equal variances)
(pooled standard deviation used, 0.7)
95% confidence intervals:
Absolute mean difference: [-0.28, 1.03] (Absolute mean difference: 0.37)
Cohen's d for difference: [-0.36, 1.42] (Cohen's d point estimate: 0.53)
Hedges g for difference: [-0.34, 1.36] (Hedges g point estimate: 0.51)
Achieved power for d=0.53: 0.2038 (for small: 0.0708; medium: 0.1851; large: 0.3951)
(secondary information (NHST): t[18] = 1.19, p = .249)
>
> ### Show the t-test
> didacticPlot(meanDiff(dat$weight ~ dat$group)$t,
+ statistic='t',
+ df1=meanDiff(dat$weight ~ dat$group)$df);
Warning: `panel.margin` is deprecated. Please use `panel.spacing` property instead
Warning: Ignoring unknown aesthetics: x.lo, x.hi
Warning: Ignoring unknown aesthetics: x.lo, x.hi
>
> ### Load data from simulated dataset testRetestSimData (which
> ### satisfies essential tau-equivalence).
> data(testRetestSimData);
>
> ### Select some items in the first measurement
> exampleData <- testRetestSimData[2:6];
>
> ## Not run:
> ##D ### Show reliabilities
> ##D scaleStructure(dat=exampleData, ci=FALSE,
> ##D omega.psych=FALSE, poly=FALSE);
> ## End(Not run)
>
> ### Create a dichotomous variable
> exampleData$group <- cut(exampleData$t0_item2, 2);
>
> ### Show item distributions and means
> meansDiamondPlot(exampleData);
Warning in mean.default(vector) :
argument is not numeric or logical: returning NA
Error in var(if (is.vector(x) || is.factor(x)) x else as.double(x), na.rm = na.rm) :
Calling var(x) on a factor x is defunct.
Use something like 'all(duplicated(x)[-1L])' to test for a constant vector.
Calls: meansDiamondPlot ... sapply -> lapply -> FUN -> meanConfInt -> sd -> var
Execution halted
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Version: 0.7.1
Check: examples
Result: ERROR
Running examples in ‘userfriendlyscience-Ex.R’ failed
The error most likely occurred in:
> ### Name: userfriendlyscience-package
> ### Title: Userfriendlyscience (UFS)
> ### Aliases: userfriendlyscience-package userfriendlyscience ufs UFS
> ### Keywords: package
>
> ### ** Examples
>
> ### Create simple dataset
> dat <- PlantGrowth[1:20,];
> ### Remove third level from group factor
> dat$group <- factor(dat$group);
>
> ### Examine normality
> normalityAssessment(dat$weight);
## SAMPLE DISTRIBUTION ###
Sample distribution of 20 observations
Mean=4.85, median=4.75, SD=0.7, and therefore SE of the mean = 0.16
Skewness (G1): 0.23 (se = 0.51, confidence interval = [-0.77, 1.23], z = 0.45, p = .65)
Kurtosis (G2): -0.57 (se = 0.99, confidence interval = [-2.5, 1.4], z = -0.57, p = .57)
Hartigans' Dip Test: 0.06, p = .73
Shapiro-Wilk: p=0.82 (W=0.97; based on 20 observations)
Anderson-Darling: p=0.87 (A=0.2)
Kolmogorov-Smirnof: p=0 (D=1)
## SAMPLING DISTRIBUTION FOR THE MEAN ###
Sampling distribution of 10000 samples of n=20
Mean=4.85, median=4.84, SD=0.15
Skewness (G1): 0.05 (se = 0.51, confidence interval = [-0.95, 1.06], z = 0.1, p = .92)
Kurtosis (G2): 0.05 (se = 0.99, confidence interval = [-1.9, 2.0], z = 0.048, p = .96)
Hartigans' Dip Test: 0, p = .99
Shapiro-Wilk: p=0.38 (W=1; NOTE: based on the first 5000 of 10000 observations)
Anderson-Darling: p=0.26 (A=0.46)
Kolmogorov-Smirnof: p=0 (D=1)>
> ### Compute mean difference and show it
> meanDiff(dat$weight ~ dat$group, plot=TRUE);
Input variables:
group (grouping variable)
weight (dependent variable)
Mean 1 (ctrl) = 5.03, sd = 0.58, n = 10
Mean 2 (trt1)= 4.66, sd = 0.79, n = 10
Independent samples t-test (tested for equal variances, p = .372, so equal variances)
(pooled standard deviation used, 0.7)
95% confidence intervals:
Absolute mean difference: [-0.28, 1.03] (Absolute mean difference: 0.37)
Cohen's d for difference: [-0.36, 1.42] (Cohen's d point estimate: 0.53)
Hedges g for difference: [-0.34, 1.36] (Hedges g point estimate: 0.51)
Achieved power for d=0.53: 0.2038 (for small: 0.0708; medium: 0.1851; large: 0.3951)
(secondary information (NHST): t[18] = 1.19, p = .249)
>
> ### Show the t-test
> didacticPlot(meanDiff(dat$weight ~ dat$group)$t,
+ statistic='t',
+ df1=meanDiff(dat$weight ~ dat$group)$df);
Warning: `panel.margin` is deprecated. Please use `panel.spacing` property instead
Warning: Ignoring unknown aesthetics: x.lo, x.hi
Warning: Ignoring unknown aesthetics: x.lo, x.hi
>
> ### Load data from simulated dataset testRetestSimData (which
> ### satisfies essential tau-equivalence).
> data(testRetestSimData);
>
> ### Select some items in the first measurement
> exampleData <- testRetestSimData[2:6];
>
> ## Not run:
> ##D ### Show reliabilities
> ##D scaleStructure(dat=exampleData, ci=FALSE,
> ##D omega.psych=FALSE, poly=FALSE);
> ## End(Not run)
>
> ### Create a dichotomous variable
> exampleData$group <- cut(exampleData$t0_item2, 2);
>
> ### Show item distributions and means
> meansDiamondPlot(exampleData);
Warning in mean.default(vector) :
argument is not numeric or logical: returning NA
Error in var(if (is.vector(x) || is.factor(x)) x else as.double(x), na.rm = na.rm) :
Calling var(x) on a factor x is defunct.
Use something like 'all(duplicated(x)[-1L])' to test for a constant vector.
Calls: meansDiamondPlot ... sapply -> lapply -> FUN -> meanConfInt -> sd -> var
Execution halted
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-ix86+x86_64
Version: 0.7.1
Check: package dependencies
Result: ERROR
Package required but not available: ‘MBESS’
See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.
Flavor: r-patched-solaris-x86