Merge pull request #90 from business-science/rc-0.1.4

RC 0.1.4

DESCRIPTION

@@ -1,7 +1,7 @@
 Package: tibbletime
 Type: Package
 Title: Time Aware Tibbles
-Version: 0.1.3.9000
+Version: 0.1.4
 Authors@R: c(
     person("Davis", "Vaughan", email = "[email protected]", role = c("aut", "cre")),
     person("Matt", "Dancho", email = "[email protected]", role = c("aut"))

NEWS.md

@@ -1,4 +1,7 @@
-# tibbletime (development version)
+# tibbletime 0.1.4
+
+* Minor release to stay compatible with tibble 3.0.0 and the upcoming release
+  of dplyr 1.0.0.
 
 # tibbletime 0.1.3
 

cran-comments.md

@@ -1,11 +1,10 @@
 ## Release Summary
 
-This is a minor release of 'tibbletime'. It mainly updates the `tidyr::nest()` 
-and `tidyr::unnest()` methods for compatability with tidyr 1.0.0.
+This is a minor release to keep tibbletime compatible with tibble and dplyr.
 
 ## Test environments
-* local Mac install, R 3.6.0
-* ubuntu 14.04.5 (on travis-ci) (3.6.0, devel, release)
+* local Mac install, R 4.0.0
+* ubuntu 14.04.5 (on travis-ci) (4.0.0, devel, release)
 * win-builder (devel and release)
 
 ## R CMD check results
@@ -17,8 +16,9 @@ There were no ERRORs, WARNINGs or NOTEs.
 
     R CMD check succeeded
 
-## Revdep checks
+## revdepcheck results
 
-The 4 revdeps have been checked, and nothing has been broken by this release.
-This should free up anomalize to be fixed as well (tidyr 1.0.0 broke it).
+We checked 5 reverse dependencies, comparing R CMD check results across CRAN and dev versions of this package.
 
+ * We saw 0 new problems
+ * We failed to check 0 packages

revdep/README.md

@@ -9,16 +9,14 @@
 |language |(EN)                         |
 |collate  |en_US.UTF-8                  |
 |ctype    |en_US.UTF-8                  |
-|tz       |America/Los_Angeles          |
-|date     |2019-09-19                   |
+|tz       |America/New_York             |
+|date     |2020-05-26                   |
 
 # Dependencies
 
-|package    |old   |new        |Δ  |
-|:----------|:-----|:----------|:--|
-|tibbletime |0.1.2 |0.1.2.9000 |*  |
-|ellipsis   |NA    |0.2.0.9000 |*  |
-|zoo        |NA    |1.8-6      |*  |
+|package    |old   |new   |Δ  |
+|:----------|:-----|:-----|:--|
+|tibbletime |0.1.3 |0.1.4 |*  |
 
 # Revdeps
 

revdep/checks.noindex/anomalize/new/anomalize.Rcheck/00check.log

@@ -5,7 +5,7 @@
 * using options ‘--no-manual --no-build-vignettes’
 * checking for file ‘anomalize/DESCRIPTION’ ... OK
 * checking extension type ... Package
-* this is package ‘anomalize’ version ‘0.1.1’
+* this is package ‘anomalize’ version ‘0.2.0’
 * package encoding: UTF-8
 * checking package namespace information ... OK
 * checking package dependencies ... OK
@@ -16,10 +16,7 @@
 * checking for portable file names ... OK
 * checking for sufficient/correct file permissions ... OK
 * checking whether package ‘anomalize’ can be installed ... OK
-* checking installed package size ... NOTE
-  installed size is  5.3Mb
-  sub-directories of 1Mb or more:
-    help   4.7Mb
+* checking installed package size ... OK
 * checking package directory ... OK
 * checking ‘build’ directory ... OK
 * checking DESCRIPTION meta-information ... OK
@@ -61,4 +58,4 @@
 * checking running R code from vignettes ... NONE
 * checking re-building of vignette outputs ... SKIPPED
 * DONE
-Status: 1 NOTE
+Status: OK

revdep/checks.noindex/anomalize/new/anomalize.Rcheck/anomalize-Ex.R

@@ -61,6 +61,35 @@ gesd(x, alpha = 0.05, max_anoms = 0.2, verbose = TRUE)
 
 
 
+cleanEx()
+nameEx("clean_anomalies")
+### * clean_anomalies
+
+flush(stderr()); flush(stdout())
+
+### Name: clean_anomalies
+### Title: Clean anomalies from anomalized data
+### Aliases: clean_anomalies
+
+### ** Examples
+
+
+library(dplyr)
+
+# Needed to pass CRAN check / This is loaded by default
+set_time_scale_template(time_scale_template())
+
+data(tidyverse_cran_downloads)
+
+tidyverse_cran_downloads %>%
+    time_decompose(count, method = "stl") %>%
+    anomalize(remainder, method = "iqr") %>%
+    clean_anomalies()
+
+
+
+
+
 cleanEx()
 nameEx("decompose_methods")
 ### * decompose_methods

revdep/checks.noindex/anomalize/new/anomalize.Rcheck/anomalize-Ex.Rout

@@ -21,6 +21,9 @@ Type 'q()' to quit R.
 > source(file.path(R.home("share"), "R", "examples-header.R"))
 > options(warn = 1)
 > library('anomalize')
+══ Use anomalize to improve your Forecasts by 50%! ═════════════════════════════
+Business Science offers a 1-hour course - Lab #18: Time Series Anomaly Detection!
+</> Learn more at: https://university.business-science.io/p/learning-labs-pro </>
 > 
 > base::assign(".oldSearch", base::search(), pos = 'CheckExEnv')
 > base::assign(".old_wd", base::getwd(), pos = 'CheckExEnv')
@@ -58,11 +61,6 @@ The following objects are masked from ‘package:base’:
 > tidyverse_cran_downloads %>%
 +     time_decompose(count, method = "stl") %>%
 +     anomalize(remainder, method = "iqr")
-Warning: Detecting old grouped_df format, replacing `vars` attribute by `groups`
-Warning: `cols` is now required.
-Please use `cols = c(nested.col)`
-Warning: `cols` is now required.
-Please use `cols = c(nested.col)`
 # A time tibble: 6,375 x 9
 # Index:  date
 # Groups: package [15]
@@ -232,6 +230,66 @@ $outlier_report
 > 
 > 
 > cleanEx()
+> nameEx("clean_anomalies")
+> ### * clean_anomalies
+> 
+> flush(stderr()); flush(stdout())
+> 
+> ### Name: clean_anomalies
+> ### Title: Clean anomalies from anomalized data
+> ### Aliases: clean_anomalies
+> 
+> ### ** Examples
+> 
+> 
+> library(dplyr)
+
+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
+
+> 
+> # Needed to pass CRAN check / This is loaded by default
+> set_time_scale_template(time_scale_template())
+> 
+> data(tidyverse_cran_downloads)
+> 
+> tidyverse_cran_downloads %>%
++     time_decompose(count, method = "stl") %>%
++     anomalize(remainder, method = "iqr") %>%
++     clean_anomalies()
+# A time tibble: 6,375 x 10
+# Index:  date
+# Groups: package [15]
+   package date       observed season trend remainder remainder_l1 remainder_l2
+   <chr>   <date>        <dbl>  <dbl> <dbl>     <dbl>        <dbl>        <dbl>
+ 1 tidyr   2017-01-01      873 -2761. 5053.    -1418.       -3748.        3708.
+ 2 tidyr   2017-01-02     1840   901. 5047.    -4108.       -3748.        3708.
+ 3 tidyr   2017-01-03     2495  1460. 5041.    -4006.       -3748.        3708.
+ 4 tidyr   2017-01-04     2906  1430. 5035.    -3559.       -3748.        3708.
+ 5 tidyr   2017-01-05     2847  1239. 5029.    -3421.       -3748.        3708.
+ 6 tidyr   2017-01-06     2756   367. 5024.    -2635.       -3748.        3708.
+ 7 tidyr   2017-01-07     1439 -2635. 5018.     -944.       -3748.        3708.
+ 8 tidyr   2017-01-08     1556 -2761. 5012.     -695.       -3748.        3708.
+ 9 tidyr   2017-01-09     3678   901. 5006.    -2229.       -3748.        3708.
+10 tidyr   2017-01-10     7086  1460. 5000.      626.       -3748.        3708.
+# … with 6,365 more rows, and 2 more variables: anomaly <chr>,
+#   observed_cleaned <dbl>
+> 
+> 
+> 
+> 
+> 
+> cleanEx()
+
+detaching ‘package:dplyr’
+
 > nameEx("decompose_methods")
 > ### * decompose_methods
 > 
@@ -323,7 +381,6 @@ The following objects are masked from ‘package:base’:
 +     anomalize(remainder, method = "iqr") %>%
 +     time_recompose() %>%
 +     plot_anomalies(time_recomposed = TRUE)
-Warning: Detecting old grouped_df format, replacing `vars` attribute by `groups`
 frequency = 7 days
 trend = 91 days
 > 
@@ -334,10 +391,6 @@ trend = 91 days
 +     anomalize(remainder, method = "iqr") %>%
 +     time_recompose() %>%
 +     plot_anomalies(time_recomposed = TRUE, ncol = 3)
-Warning: `cols` is now required.
-Please use `cols = c(nested.col)`
-Warning: `cols` is now required.
-Please use `cols = c(nested.col)`
 > 
 > 
 > 
@@ -380,7 +433,6 @@ The following objects are masked from ‘package:base’:
 +     time_decompose(count, method = "stl") %>%
 +     anomalize(remainder, method = "iqr") %>%
 +     plot_anomaly_decomposition()
-Warning: Detecting old grouped_df format, replacing `vars` attribute by `groups`
 frequency = 7 days
 trend = 91 days
 > 
@@ -482,9 +534,6 @@ The following objects are masked from ‘package:base’:
 > # Basic Usage
 > tidyverse_cran_downloads %>%
 +     time_apply(count, period = "1 week", .fun = mean, na.rm = TRUE)
-Warning: Detecting old grouped_df format, replacing `vars` attribute by `groups`
-Warning: `cols` is now required.
-Please use `cols = c(nested.col)`
 # A time tibble: 6,375 x 4
 # Index:  date
 # Groups: package [15]
@@ -539,9 +588,6 @@ The following objects are masked from ‘package:base’:
 > # Basic Usage
 > tidyverse_cran_downloads %>%
 +     time_decompose(count, method = "stl")
-Warning: Detecting old grouped_df format, replacing `vars` attribute by `groups`
-Warning: `cols` is now required.
-Please use `cols = c(nested.col)`
 # A time tibble: 6,375 x 6
 # Index:  date
 # Groups: package [15]
@@ -567,8 +613,6 @@ Please use `cols = c(nested.col)`
 +                    trend        = "2 months",
 +                    merge        = TRUE,
 +                    message      = FALSE)
-Warning: `cols` is now required.
-Please use `cols = c(nested.col)`
 # A time tibble: 6,375 x 7
 # Index:  date
 # Groups: package [15]
@@ -627,7 +671,6 @@ The following objects are masked from ‘package:base’:
 +     filter(package == "tidyquant") %>%
 +     ungroup() %>%
 +     time_frequency(period = "auto")
-Warning: Detecting old grouped_df format, replacing `vars` attribute by `groups`
 frequency = 7 days
 [1] 7
 > 
@@ -699,11 +742,6 @@ The following objects are masked from ‘package:base’:
 +     time_decompose(count, method = "stl") %>%
 +     anomalize(remainder, method = "iqr") %>%
 +     time_recompose()
-Warning: Detecting old grouped_df format, replacing `vars` attribute by `groups`
-Warning: `cols` is now required.
-Please use `cols = c(nested.col)`
-Warning: `cols` is now required.
-Please use `cols = c(nested.col)`
 # A time tibble: 6,375 x 11
 # Index:  date
 # Groups: package [15]
@@ -719,8 +757,8 @@ Please use `cols = c(nested.col)`
  8 tidyr   2017-01-08     1556 -2761. 5012.     -695.       -3748.        3708.
  9 tidyr   2017-01-09     3678   901. 5006.    -2229.       -3748.        3708.
 10 tidyr   2017-01-10     7086  1460. 5000.      626.       -3748.        3708.
-# … with 6,365 more rows, and 3 more variables: anomaly <chr>,
-#   recomposed_l1 <dbl>, recomposed_l2 <dbl>
+# … with 6,365 more rows, and 3 more variables: anomaly <chr>,
+#   recomposed_l1 <dbl>, recomposed_l2 <dbl>
 > 
 > 
 > 
@@ -766,7 +804,7 @@ detaching ‘package:dplyr’
 > cleanEx()
 > options(digits = 7L)
 > base::cat("Time elapsed: ", proc.time() - base::get("ptime", pos = 'CheckExEnv'),"\n")
-Time elapsed:  7.939 0.154 8.343 0.002 0.003 
+Time elapsed:  10.053 0.208 10.304 0.001 0.002 
 > grDevices::dev.off()
 null device 
           1 

revdep/checks.noindex/anomalize/new/anomalize.Rcheck/tests/testthat.R

@@ -1,9 +1,10 @@
-library(testthat)
-library(anomalize)
-library(dplyr)
-library(ggplot2)
-library(tibble)
-
-# set_time_scale_template(time_scale_template())
-
-test_check("anomalize")
+library(testthat)
+library(anomalize)
+library(dplyr)
+library(ggplot2)
+library(tibble)
+library(stringr)
+
+# set_time_scale_template(time_scale_template())
+
+test_check("anomalize")

revdep/checks.noindex/anomalize/new/anomalize.Rcheck/tests/testthat.Rout

@@ -17,6 +17,9 @@ Type 'q()' to quit R.
 
 > library(testthat)
 > library(anomalize)
+══ Use anomalize to improve your Forecasts by 50%! ═════════════════════════════
+Business Science offers a 1-hour course - Lab #18: Time Series Anomaly Detection!
+</> Learn more at: https://university.business-science.io/p/learning-labs-pro </>
 > library(dplyr)
 
 Attaching package: 'dplyr'
@@ -35,13 +38,16 @@ The following objects are masked from 'package:base':
 
 > library(ggplot2)
 > library(tibble)
+Warning message:
+package 'tibble' was built under R version 3.6.2 
+> library(stringr)
 > 
 > # set_time_scale_template(time_scale_template())
 > 
 > test_check("anomalize")
-══ testthat results  ══════════════════════════════════════════════════════════════════════════════════════════════════════
-[ OK: 64 | SKIPPED: 0 | WARNINGS: 17 | FAILED: 0 ]
+══ testthat results  ═══════════════════════════════════════════════════════════
+[ OK: 67 | SKIPPED: 0 | WARNINGS: 0 | FAILED: 0 ]
 > 
 > proc.time()
    user  system elapsed 
-  8.106   0.184   8.317 
+ 14.141   0.257  14.437