Last updated on 2023-11-14 09:09:37 CET.
| Flavor | Version | Tinstall | Tcheck | Ttotal | Status | Flags |
|---|---|---|---|---|---|---|
| r-devel-linux-x86_64-debian-clang | 0.1.4 | 14.54 | 115.15 | 129.69 | ERROR | |
| r-devel-linux-x86_64-debian-gcc | 0.1.4 | 10.60 | 83.82 | 94.42 | ERROR | |
| r-devel-linux-x86_64-fedora-clang | 0.1.4 | 157.29 | ERROR | |||
| r-devel-linux-x86_64-fedora-gcc | 0.1.4 | 106.16 | ERROR | |||
| r-devel-windows-x86_64 | 0.1.4 | 13.00 | 98.00 | 111.00 | ERROR | |
| r-patched-linux-x86_64 | 0.1.4 | 20.68 | 115.83 | 136.51 | OK | |
| r-release-linux-x86_64 | 0.1.4 | 11.52 | 108.98 | 120.50 | OK | |
| r-release-macos-arm64 | 0.1.4 | 47.00 | OK | |||
| r-release-macos-x86_64 | 0.1.4 | 78.00 | OK | |||
| r-release-windows-x86_64 | 0.1.4 | 20.00 | 114.00 | 134.00 | OK | |
| r-oldrel-macos-arm64 | 0.1.4 | 47.00 | OK | |||
| r-oldrel-macos-x86_64 | 0.1.4 | 65.00 | OK | |||
| r-oldrel-windows-x86_64 | 0.1.4 | 17.00 | 117.00 | 134.00 | OK |
Version: 0.1.4
Check: examples
Result: ERROR
Running examples in ‘plotRCS-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: rcsplot
> ### Title: Plot restricted cubic splines curves
> ### Aliases: rcsplot
>
> ### ** Examples
>
> # View data
> head(cancer)
id age sex race size metastasis status time
1 10274 53 Male White 27 No Censored 12
2 56998 32 Male Black 185 No Dead 5
3 60010 69 Male White 51 No Dead 13
4 24307 61 Male White 37 No Censored 50
5 5253 53 Female White 25 No Censored 27
6 39685 56 Male Other 38 No Censored 17
>
> # RCS curves for a linear regression model
> rcsplot(data = cancer,
+ outcome = "size",
+ exposure = "age",
+ covariates = c("sex", "race", "metastasis"))
Figure: Association Between age and size Using a Restricted Cubic Spline Regression Model.
Graphs show β for size according to age adjusted for sex, race, metastasis. Data were fitted by a linear regression model, and the model was conducted with 4 knots at the 5th, 35th, 65th, 95th percentiles of age (reference is the 5th percentile). Solid lines indicate β, and shadow shape indicate 95% CIs. CI, confidence interval.
Error in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
conversion failure on 'β (95% CI)' in 'mbcsToSbcs': for β
Calls: <Anonymous> ... <Anonymous> -> widthDetails -> widthDetails.text -> grid.Call
Execution halted
Flavor: r-devel-linux-x86_64-debian-clang
Version: 0.1.4
Check: examples
Result: ERROR
Running examples in ‘plotRCS-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: rcsplot
> ### Title: Plot restricted cubic splines curves
> ### Aliases: rcsplot
>
> ### ** Examples
>
> # View data
> head(cancer)
id age sex race size metastasis status time
1 10274 53 Male White 27 No Censored 12
2 56998 32 Male Black 185 No Dead 5
3 60010 69 Male White 51 No Dead 13
4 24307 61 Male White 37 No Censored 50
5 5253 53 Female White 25 No Censored 27
6 39685 56 Male Other 38 No Censored 17
>
> # RCS curves for a linear regression model
> rcsplot(data = cancer,
+ outcome = "size",
+ exposure = "age",
+ covariates = c("sex", "race", "metastasis"))
Figure: Association Between age and size Using a Restricted Cubic Spline Regression Model.
Graphs show β for size according to age adjusted for sex, race, metastasis. Data were fitted by a linear regression model, and the model was conducted with 4 knots at the 5th, 35th, 65th, 95th percentiles of age (reference is the 5th percentile). Solid lines indicate β, and shadow shape indicate 95% CIs. CI, confidence interval.
Error in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
conversion failure on 'β (95% CI)' in 'mbcsToSbcs': for β (U+03B2)
Calls: <Anonymous> ... <Anonymous> -> widthDetails -> widthDetails.text -> grid.Call
Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc
Version: 0.1.4
Check: examples
Result: ERROR
Running examples in ‘plotRCS-Ex.R’ failed
The error most likely occurred in:
> ### Name: rcsplot
> ### Title: Plot restricted cubic splines curves
> ### Aliases: rcsplot
>
> ### ** Examples
>
> # View data
> head(cancer)
id age sex race size metastasis status time
1 10274 53 Male White 27 No Censored 12
2 56998 32 Male Black 185 No Dead 5
3 60010 69 Male White 51 No Dead 13
4 24307 61 Male White 37 No Censored 50
5 5253 53 Female White 25 No Censored 27
6 39685 56 Male Other 38 No Censored 17
>
> # RCS curves for a linear regression model
> rcsplot(data = cancer,
+ outcome = "size",
+ exposure = "age",
+ covariates = c("sex", "race", "metastasis"))
Figure: Association Between age and size Using a Restricted Cubic Spline Regression Model.
Graphs show β for size according to age adjusted for sex, race, metastasis. Data were fitted by a linear regression model, and the model was conducted with 4 knots at the 5th, 35th, 65th, 95th percentiles of age (reference is the 5th percentile). Solid lines indicate β, and shadow shape indicate 95% CIs. CI, confidence interval.
Error in grid.Call(C_textBounds, as.graphicsAnnot(x$label), x$x, x$y, :
conversion failure on 'β (95% CI)' in 'mbcsToSbcs': for β (U+03B2)
Calls: <Anonymous> ... <Anonymous> -> widthDetails -> widthDetails.text -> grid.Call
Execution halted
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64