Last updated on 2020-08-07 01:50:19 CEST.
| Package | WARN | NOTE | OK |
|---|---|---|---|
| encryptr | 9 | 3 | |
| finalfit | 1 | 1 | 10 |
Current CRAN status: NOTE: 9, OK: 3
Version: 0.1.3
Check: for non-standard things in the check directory
Result: NOTE
Found the following files/directories:
'file.path(temp_dir, gp2.csv)'
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-patched-solaris-x86, r-release-linux-x86_64
Version: 0.1.3
Check: dependencies in R code
Result: NOTE
Namespace in Imports field not imported from: ‘knitr’
All declared Imports should be used.
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-patched-solaris-x86, r-release-macos-x86_64, r-oldrel-macos-x86_64
Current CRAN status: WARN: 1, NOTE: 1, OK: 10
Version: 1.0.2
Check: installed package size
Result: NOTE
installed size is 5.3Mb
sub-directories of 1Mb or more:
doc 4.5Mb
Flavor: r-patched-solaris-x86
Version: 1.0.2
Check: re-building of vignette outputs
Result: WARN
Error(s) in re-building vignettes:
--- re-building 'all_tables_examples.Rmd' using rmarkdown
Attaching package: 'dplyr'
The following objects are masked from 'package:stats':
filter, lag
The following objects are masked from 'package:base':
intersect, setdiff, setequal, union
Warning in chisq.test(age.factor, perfor.factor) :
Chi-squared approximation may be incorrect
Warning in chisq.test(age.factor, perfor.factor) :
Chi-squared approximation may be incorrect
Warning in chisq.test(age.factor, perfor.factor) :
Chi-squared approximation may be incorrect
Warning in chisq.test(age.factor, perfor.factor) :
Chi-squared approximation may be incorrect
Warning in chisq.test(age.factor, perfor.factor) :
Chi-squared approximation may be incorrect
Warning in chisq.test(obstruct.factor, perfor.factor) :
Chi-squared approximation may be incorrect
Warning in chisq.test(age.factor, perfor.factor) :
Chi-squared approximation may be incorrect
Warning in chisq.test(age.factor, perfor.factor) :
Chi-squared approximation may be incorrect
Warning in chisq.test(age.factor, perfor.factor) :
Chi-squared approximation may be incorrect
Warning in chisq.test(age.factor, perfor.factor) :
Chi-squared approximation may be incorrect
Warning in chisq.test(age.factor, perfor.factor) :
Chi-squared approximation may be incorrect
Warning in chisq.test(extent.factor, perfor.factor) :
Chi-squared approximation may be incorrect
Warning in chisq.test(age.factor, perfor.factor) :
Chi-squared approximation may be incorrect
Warning in chisq.test(age.factor, perfor.factor) :
Chi-squared approximation may be incorrect
Warning in chisq.test(age.factor, extent.factor) :
Chi-squared approximation may be incorrect
Warning in chisq.test(obstruct.factor, extent.factor) :
Chi-squared approximation may be incorrect
Warning in chisq.test(age.factor, mort_5yr) :
Chi-squared approximation may be incorrect
Warning in chisq.test(obstruct.factor, mort_5yr) :
Chi-squared approximation may be incorrect
Note: dependent includes missing data. These are dropped.
Warning in chisq.test(age.factor, perfor.factor) :
Chi-squared approximation may be incorrect
Note: dependent includes missing data. These are dropped.
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Note: dependent includes missing data. These are dropped.
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Note: dependent includes missing data. These are dropped.
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Setting levels: control = 0, case = 1
Setting direction: controls < cases
Setting levels: control = 0, case = 1
Setting direction: controls < cases
Note: dependent includes missing data. These are dropped.
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Note: dependent includes missing data. These are dropped.
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Setting levels: control = 0, case = 1
Setting direction: controls < cases
Waiting for profiling to be done...
Setting levels: control = 0, case = 1
Setting direction: controls < cases
Note: dependent includes missing data. These are dropped.
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Note: dependent includes missing data. These are dropped.
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Note: dependent includes missing data. These are dropped.
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Note: dependent includes missing data. These are dropped.
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Note: dependent includes missing data. These are dropped.
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Note: dependent includes missing data. These are dropped.
Note: dependent includes missing data. These are dropped.
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Note: dependent includes missing data. These are dropped.
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Note: dependent includes missing data. These are dropped.
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Note: dependent includes missing data. These are dropped.
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Note: dependent includes missing data. These are dropped.
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
boundary (singular) fit: see ?isSingular
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Note: dependent includes missing data. These are dropped.
Note: dependent includes missing data. These are dropped.
P-value for lmer is estimate assuming t-distribution is normal. Bootstrap for final publication.
Note: dependent includes missing data. These are dropped.
boundary (singular) fit: see ?isSingular
P-value for lmer is estimate assuming t-distribution is normal. Bootstrap for final publication.
Note: dependent includes missing data. These are dropped.
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Note: dependent includes missing data. These are dropped.
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Note: dependent includes missing data. These are dropped.
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Note: dependent includes missing data. These are dropped.
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Note: dependent includes missing data. These are dropped.
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Dependent variable is a survival object
Loading required package: grid
Loading required package: Matrix
Loading required package: survival
Attaching package: 'survey'
The following object is masked from 'package:graphics':
dotchart
--- finished re-building 'all_tables_examples.Rmd'
--- re-building 'bootstrap.Rmd' using rmarkdown
--- finished re-building 'bootstrap.Rmd'
--- re-building 'data_prep.Rmd' using rmarkdown
--- finished re-building 'data_prep.Rmd'
--- re-building 'export.Rmd' using rmarkdown
Attaching package: 'dplyr'
The following objects are masked from 'package:stats':
filter, lag
The following objects are masked from 'package:base':
intersect, setdiff, setequal, union
Note: dependent includes missing data. These are dropped.
Warning in chisq.test(extent.factor, differ.factor) :
Chi-squared approximation may be incorrect
Note: dependent includes missing data. These are dropped.
Warning in chisq.test(extent.factor, differ.factor) :
Chi-squared approximation may be incorrect
Note: dependent includes missing data. These are dropped.
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
--- finished re-building 'export.Rmd'
--- re-building 'finalfit.Rmd' using rmarkdown
Attaching package: 'dplyr'
The following objects are masked from 'package:stats':
filter, lag
The following objects are masked from 'package:base':
intersect, setdiff, setequal, union
Warning in chisq.test(age.factor, perfor.factor) :
Chi-squared approximation may be incorrect
Note: dependent includes missing data. These are dropped.
Note: dependent includes missing data. These are dropped.
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Note: dependent includes missing data. These are dropped.
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Note: dependent includes missing data. These are dropped.
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Note: dependent includes missing data. These are dropped.
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Setting levels: control = 0, case = 1
Setting direction: controls < cases
Note: dependent includes missing data. These are dropped.
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
Waiting for profiling to be done...
--- finished re-building 'finalfit.Rmd'
--- re-building 'missing.Rmd' using rmarkdown
Attaching package: 'dplyr'
The following objects are masked from 'package:stats':
filter, lag
The following objects are masked from 'package:base':
intersect, setdiff, setequal, union
Attaching package: 'mice'
The following objects are masked from 'package:base':
cbind, rbind
Note: Using an external vector in selections is ambiguous.
i Use `all_of(dependent)` instead of `dependent` to silence this message.
i See <https://tidyselect.r-lib.org/reference/faq-external-vector.html>.
This message is displayed once per session.
Note: Using an external vector in selections is ambiguous.
i Use `all_of(explanatory)` instead of `explanatory` to silence this message.
i See <https://tidyselect.r-lib.org/reference/faq-external-vector.html>.
This message is displayed once per session.
Quitting from lines 324-400 (missing.Rmd)
Error: processing vignette 'missing.Rmd' failed with diagnostics:
function 'enterRNGScope' not provided by package 'Rcpp'
--- failed re-building 'missing.Rmd'
--- re-building 'survival.Rmd' using rmarkdown
--- finished re-building 'survival.Rmd'
SUMMARY: processing the following file failed:
'missing.Rmd'
Error: Vignette re-building failed.
Execution halted
Flavor: r-release-windows-ix86+x86_64