CRAN Package Check Results for Package tidyquant

Last updated on 2021-01-17 07:50:46 CET.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 1.0.2 11.77 227.30 239.07 OK
r-devel-linux-x86_64-debian-gcc 1.0.2 8.57 164.20 172.77 WARN
r-devel-linux-x86_64-fedora-clang 1.0.2 282.94 NOTE
r-devel-linux-x86_64-fedora-gcc 1.0.2 191.93 NOTE
r-devel-windows-ix86+x86_64 1.0.2 18.00 262.00 280.00 NOTE
r-patched-linux-x86_64 1.0.2 7.57 217.62 225.19 OK
r-patched-solaris-x86 1.0.2 361.00 NOTE
r-release-linux-x86_64 1.0.2 12.11 219.40 231.51 OK
r-release-macos-x86_64 1.0.2 NOTE
r-release-windows-ix86+x86_64 1.0.2 21.00 234.00 255.00 NOTE
r-oldrel-macos-x86_64 1.0.2 NOTE
r-oldrel-windows-ix86+x86_64 1.0.2 21.00 305.00 326.00 NOTE

Check Details

Version: 1.0.2
Check: re-building of vignette outputs
Result: WARN
    Error(s) in re-building vignettes:
     ...
    --- re-building ‘TQ00-introduction-to-tidyquant.Rmd’ using rmarkdown
    Loading required package: lubridate
    
    Attaching package: 'lubridate'
    
    The following objects are masked from 'package:base':
    
     date, intersect, setdiff, union
    
    Loading required package: PerformanceAnalytics
    Loading required package: xts
    Loading required package: zoo
    
    Attaching package: 'zoo'
    
    The following objects are masked from 'package:base':
    
     as.Date, as.Date.numeric
    
    
    Attaching package: 'PerformanceAnalytics'
    
    The following object is masked from 'package:graphics':
    
     legend
    
    Loading required package: quantmod
    Loading required package: TTR
    ══ Need to Learn tidyquant? ════════════════════════════════════════════════════
    Business Science offers a 1-hour course - Learning Lab #9: Performance Analysis & Portfolio Optimization with tidyquant!
    </> Learn more at: https://university.business-science.io/p/learning-labs-pro </>
    ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.0 ──
    ✔ ggplot2 3.3.3 ✔ purrr 0.3.4
    ✔ tibble 3.0.5 ✔ dplyr 1.0.3
    ✔ tidyr 1.1.2 ✔ stringr 1.4.0
    ✔ readr 1.4.0 ✔ forcats 0.5.0
    ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
    ✖ lubridate::as.difftime() masks base::as.difftime()
    ✖ lubridate::date() masks base::date()
    ✖ dplyr::filter() masks stats::filter()
    ✖ dplyr::first() masks xts::first()
    ✖ lubridate::intersect() masks base::intersect()
    ✖ dplyr::lag() masks stats::lag()
    ✖ dplyr::last() masks xts::last()
    ✖ lubridate::setdiff() masks base::setdiff()
    ✖ lubridate::union() masks base::union()
    --- finished re-building ‘TQ00-introduction-to-tidyquant.Rmd’
    
    --- re-building ‘TQ01-core-functions-in-tidyquant.Rmd’ using rmarkdown
    ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.0 ──
    ✔ ggplot2 3.3.3 ✔ purrr 0.3.4
    ✔ tibble 3.0.5 ✔ dplyr 1.0.3
    ✔ tidyr 1.1.2 ✔ stringr 1.4.0
    ✔ readr 1.4.0 ✔ forcats 0.5.0
    ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
    ✖ dplyr::filter() masks stats::filter()
    ✖ dplyr::lag() masks stats::lag()
    Loading required package: lubridate
    
    Attaching package: 'lubridate'
    
    The following objects are masked from 'package:base':
    
     date, intersect, setdiff, union
    
    Loading required package: PerformanceAnalytics
    Loading required package: xts
    Loading required package: zoo
    
    Attaching package: 'zoo'
    
    The following objects are masked from 'package:base':
    
     as.Date, as.Date.numeric
    
    
    Attaching package: 'xts'
    
    The following objects are masked from 'package:dplyr':
    
     first, last
    
    
    Attaching package: 'PerformanceAnalytics'
    
    The following object is masked from 'package:graphics':
    
     legend
    
    Loading required package: quantmod
    Loading required package: TTR
    ══ Need to Learn tidyquant? ════════════════════════════════════════════════════
    Business Science offers a 1-hour course - Learning Lab #9: Performance Analysis & Portfolio Optimization with tidyquant!
    </> Learn more at: https://university.business-science.io/p/learning-labs-pro </>
    Warning in fun_transmute(., OHLC = FALSE, ...) :
     missing values removed from data
    --- finished re-building ‘TQ01-core-functions-in-tidyquant.Rmd’
    
    --- re-building ‘TQ02-quant-integrations-in-tidyquant.Rmd’ using rmarkdown
    ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.0 ──
    ✔ ggplot2 3.3.3 ✔ purrr 0.3.4
    ✔ tibble 3.0.5 ✔ dplyr 1.0.3
    ✔ tidyr 1.1.2 ✔ stringr 1.4.0
    ✔ readr 1.4.0 ✔ forcats 0.5.0
    ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
    ✖ dplyr::filter() masks stats::filter()
    ✖ dplyr::lag() masks stats::lag()
    Loading required package: lubridate
    
    Attaching package: 'lubridate'
    
    The following objects are masked from 'package:base':
    
     date, intersect, setdiff, union
    
    Loading required package: PerformanceAnalytics
    Loading required package: xts
    Loading required package: zoo
    
    Attaching package: 'zoo'
    
    The following objects are masked from 'package:base':
    
     as.Date, as.Date.numeric
    
    
    Attaching package: 'xts'
    
    The following objects are masked from 'package:dplyr':
    
     first, last
    
    
    Attaching package: 'PerformanceAnalytics'
    
    The following object is masked from 'package:graphics':
    
     legend
    
    Loading required package: quantmod
    Loading required package: TTR
    ══ Need to Learn tidyquant? ════════════════════════════════════════════════════
    Business Science offers a 1-hour course - Learning Lab #9: Performance Analysis & Portfolio Optimization with tidyquant!
    </> Learn more at: https://university.business-science.io/p/learning-labs-pro </>
    Warning: Removed 20 row(s) containing missing values (geom_path).
    `geom_smooth()` using formula 'y ~ x'
    Warning: Removed 89 row(s) containing missing values (geom_path).
    --- finished re-building ‘TQ02-quant-integrations-in-tidyquant.Rmd’
    
    --- re-building ‘TQ03-scaling-and-modeling-with-tidyquant.Rmd’ using rmarkdown
    ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.0 ──
    ✔ ggplot2 3.3.3 ✔ purrr 0.3.4
    ✔ tibble 3.0.5 ✔ dplyr 1.0.3
    ✔ tidyr 1.1.2 ✔ stringr 1.4.0
    ✔ readr 1.4.0 ✔ forcats 0.5.0
    ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
    ✖ dplyr::filter() masks stats::filter()
    ✖ dplyr::lag() masks stats::lag()
    Loading required package: lubridate
    
    Attaching package: 'lubridate'
    
    The following objects are masked from 'package:base':
    
     date, intersect, setdiff, union
    
    Loading required package: PerformanceAnalytics
    Loading required package: xts
    Loading required package: zoo
    
    Attaching package: 'zoo'
    
    The following objects are masked from 'package:base':
    
     as.Date, as.Date.numeric
    
    
    Attaching package: 'xts'
    
    The following objects are masked from 'package:dplyr':
    
     first, last
    
    
    Attaching package: 'PerformanceAnalytics'
    
    The following object is masked from 'package:graphics':
    
     legend
    
    Loading required package: quantmod
    Loading required package: TTR
    ══ Need to Learn tidyquant? ════════════════════════════════════════════════════
    Business Science offers a 1-hour course - Learning Lab #9: Performance Analysis & Portfolio Optimization with tidyquant!
    </> Learn more at: https://university.business-science.io/p/learning-labs-pro </>
    Getting holdings for DOW
    Warning in tq_index("DOW") :
     Error at DOW during download.
    Error: Evaluation error: zip file ‘/home/hornik/tmp/scratch/RtmpDC87Tu/file22c86df51b77.xlsx’ cannot be opened.
    
    Getting holdings for DOW
    Warning in tq_index("DOW") :
     Error at DOW during download.
    Error: Evaluation error: zip file ‘/home/hornik/tmp/scratch/RtmpDC87Tu/file22c826d0a6c1.xlsx’ cannot be opened.
    
    Quitting from lines 106-109 (TQ03-scaling-and-modeling-with-tidyquant.Rmd)
    Error: processing vignette 'TQ03-scaling-and-modeling-with-tidyquant.Rmd' failed with diagnostics:
    subscript out of bounds
    --- failed re-building ‘TQ03-scaling-and-modeling-with-tidyquant.Rmd’
    
    --- re-building ‘TQ04-charting-with-tidyquant.Rmd’ using rmarkdown
    ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.0 ──
    ✔ ggplot2 3.3.3 ✔ purrr 0.3.4
    ✔ tibble 3.0.5 ✔ dplyr 1.0.3
    ✔ tidyr 1.1.2 ✔ stringr 1.4.0
    ✔ readr 1.4.0 ✔ forcats 0.5.0
    ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
    ✖ dplyr::filter() masks stats::filter()
    ✖ dplyr::lag() masks stats::lag()
    Loading required package: lubridate
    
    Attaching package: 'lubridate'
    
    The following objects are masked from 'package:base':
    
     date, intersect, setdiff, union
    
    Loading required package: PerformanceAnalytics
    Loading required package: xts
    Loading required package: zoo
    
    Attaching package: 'zoo'
    
    The following objects are masked from 'package:base':
    
     as.Date, as.Date.numeric
    
    
    Attaching package: 'xts'
    
    The following objects are masked from 'package:dplyr':
    
     first, last
    
    
    Attaching package: 'PerformanceAnalytics'
    
    The following object is masked from 'package:graphics':
    
     legend
    
    Loading required package: quantmod
    Loading required package: TTR
    ══ Need to Learn tidyquant? ════════════════════════════════════════════════════
    Business Science offers a 1-hour course - Learning Lab #9: Performance Analysis & Portfolio Optimization with tidyquant!
    </> Learn more at: https://university.business-science.io/p/learning-labs-pro </>
    `geom_smooth()` using formula 'y ~ x'
    `geom_smooth()` using formula 'y ~ x'
    `geom_smooth()` using formula 'y ~ x'
    --- finished re-building ‘TQ04-charting-with-tidyquant.Rmd’
    
    --- re-building ‘TQ05-performance-analysis-with-tidyquant.Rmd’ using rmarkdown
    Loading required package: lubridate
    
    Attaching package: 'lubridate'
    
    The following objects are masked from 'package:base':
    
     date, intersect, setdiff, union
    
    Loading required package: PerformanceAnalytics
    Loading required package: xts
    Loading required package: zoo
    
    Attaching package: 'zoo'
    
    The following objects are masked from 'package:base':
    
     as.Date, as.Date.numeric
    
    
    Attaching package: 'PerformanceAnalytics'
    
    The following object is masked from 'package:graphics':
    
     legend
    
    Loading required package: quantmod
    Loading required package: TTR
    ══ Need to Learn tidyquant? ════════════════════════════════════════════════════
    Business Science offers a 1-hour course - Learning Lab #9: Performance Analysis & Portfolio Optimization with tidyquant!
    </> Learn more at: https://university.business-science.io/p/learning-labs-pro </>
    ── Attaching packages ─────────────────────────────────────── tidyverse 1.3.0 ──
    ✔ ggplot2 3.3.3 ✔ purrr 0.3.4
    ✔ tibble 3.0.5 ✔ dplyr 1.0.3
    ✔ tidyr 1.1.2 ✔ stringr 1.4.0
    ✔ readr 1.4.0 ✔ forcats 0.5.0
    ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
    ✖ lubridate::as.difftime() masks base::as.difftime()
    ✖ lubridate::date() masks base::date()
    ✖ dplyr::filter() masks stats::filter()
    ✖ dplyr::first() masks xts::first()
    ✖ lubridate::intersect() masks base::intersect()
    ✖ dplyr::lag() masks stats::lag()
    ✖ dplyr::last() masks xts::last()
    ✖ lubridate::setdiff() masks base::setdiff()
    ✖ lubridate::union() masks base::union()
    Ungrouping data frame groups: symbol
    Warning: Problem with `mutate()` input `nested.col`.
    ℹ skewness is close to zero. The classical definition of the coskewness statistic is not applicable and one should normalize using the comoment without standardization.
    ℹ Input `nested.col` is `purrr::map(...)`.
    ℹ The error occurred in group 1: portfolio = 1.
    Warning: Problem with `mutate()` input `nested.col`.
    ℹ skewness is close to zero. The classical definition of the coskewness statistic is not applicable and one should normalize using the comoment without standardization.
    ℹ Input `nested.col` is `purrr::map(...)`.
    ℹ The error occurred in group 2: portfolio = 2.
    Warning: Problem with `mutate()` input `nested.col`.
    ℹ skewness is close to zero. The classical definition of the coskewness statistic is not applicable and one should normalize using the comoment without standardization.
    ℹ Input `nested.col` is `purrr::map(...)`.
    ℹ The error occurred in group 3: portfolio = 3.
    `geom_smooth()` using formula 'y ~ x'
    `geom_smooth()` using formula 'y ~ x'
    `geom_smooth()` using formula 'y ~ x'
    --- finished re-building ‘TQ05-performance-analysis-with-tidyquant.Rmd’
    
    --- re-building ‘TQ06-excel-in-r.Rmd’ using rmarkdown
    --- finished re-building ‘TQ06-excel-in-r.Rmd’
    
    SUMMARY: processing the following file failed:
     ‘TQ03-scaling-and-modeling-with-tidyquant.Rmd’
    
    Error: Vignette re-building failed.
    Execution halted
Flavor: r-devel-linux-x86_64-debian-gcc

Version: 1.0.2
Check: package dependencies
Result: NOTE
    Imports includes 24 non-default packages.
    Importing from so many packages makes the package vulnerable to any of
    them becoming unavailable. Move as many as possible to Suggests and
    use conditionally.
Flavor: r-devel-linux-x86_64-fedora-clang

Version: 1.0.2
Check: installed package size
Result: NOTE
     installed size is 5.1Mb
     sub-directories of 1Mb or more:
     doc 4.2Mb
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-windows-ix86+x86_64, r-patched-solaris-x86, r-release-macos-x86_64, r-release-windows-ix86+x86_64, r-oldrel-macos-x86_64, r-oldrel-windows-ix86+x86_64

Version: 1.0.2
Check: dependencies in R code
Result: NOTE
    Namespace in Imports field not imported from: ‘janitor’
     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

Version: 1.0.2
Check: package dependencies
Result: NOTE
    Package suggested but not available for checking: ‘Rblpapi’
Flavor: r-patched-solaris-x86