CRAN Package Check Results for Package tidytext

Last updated on 2017-04-27 21:47:59.

Flavor Version Tinstall Tcheck Ttotal Status Flags
r-devel-linux-x86_64-debian-clang 0.1.2 4.99 58.28 63.27 ERROR
r-devel-linux-x86_64-debian-gcc 0.1.2 5.19 56.55 61.74 ERROR
r-devel-linux-x86_64-fedora-clang 0.1.2 142.13 ERROR --no-stop-on-test-error
r-devel-linux-x86_64-fedora-gcc 0.1.2 133.25 ERROR --no-stop-on-test-error
r-devel-windows-ix86+x86_64 0.1.2 10.00 104.00 114.00 ERROR
r-patched-linux-x86_64 0.1.2 5.10 57.92 63.02 ERROR
r-patched-solaris-sparc 0.1.2 734.60 ERROR
r-patched-solaris-x86 0.1.2 172.70 ERROR
r-release-linux-x86_64 0.1.2 5.15 57.08 62.23 ERROR
r-release-windows-ix86+x86_64 0.1.2 12.00 119.00 131.00 ERROR
r-release-osx-x86_64 0.1.2 ERROR
r-oldrel-windows-ix86+x86_64 0.1.2 15.00 124.00 139.00 ERROR
r-oldrel-osx-x86_64 0.1.2 OK

Check Details

Version: 0.1.2
Check: examples
Result: ERROR
    Running examples in ‘tidytext-Ex.R’ failed
    The error most likely occurred in:
    
    > base::assign(".ptime", proc.time(), pos = "CheckExEnv")
    > ### Name: corpus_tidiers
    > ### Title: Tidiers for a corpus object from the quanteda package
    > ### Aliases: corpus_tidiers glance.corpus tidy.corpus
    >
    > ### ** Examples
    >
    >
    > if (requireNamespace("quanteda", quietly = FALSE)) {
    + data("inaugCorpus", package = "quanteda")
    +
    + inaugCorpus
    +
    + tidy(inaugCorpus)
    + }
    Loading required namespace: quanteda
    Warning in data("inaugCorpus", package = "quanteda") :
     data set ‘inaugCorpus’ not found
    Error: object 'inaugCorpus' not found
    Execution halted
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-patched-linux-x86_64, r-release-linux-x86_64

Version: 0.1.2
Check: tests
Result: ERROR
     Running ‘testthat.R’ [6s/6s]
    Running the tests in ‘tests/testthat.R’ failed.
    Last 13 lines of output:
     5: eval(expr, pf)
     6: quanteda::dfm(quanteda::inaugCorpus)
     7: quanteda::inaugCorpus
     8: getExportedValue(pkg, name)
     9: stop(gettextf("'%s' is not an exported object from 'namespace:%s'", name, getNamespaceName(ns)),
     call. = FALSE, domain = NA)
    
     testthat results ================================================================
     OK: 126 SKIPPED: 0 FAILED: 3
     1. Error: Can tidy corpus from quanteda package (@test-corpus-tidiers.R#23)
     2. Error: can tidy a quanteda dictionary (@test-dictionary-tidiers.R#9)
     3. Error: Can tidy dfm from quanteda (@test-sparse-tidiers.R#28)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-devel-linux-x86_64-debian-clang

Version: 0.1.2
Check: re-building of vignette outputs
Result: WARN
    Error in re-building vignettes:
     ...
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    Joining, by = "book"
    `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
    Warning: Removed 896 rows containing non-finite values (stat_bin).
    pandoc: unable to decommit memory: Invalid argument
    Loading required package: NLP
    
    Attaching package: 'NLP'
    
    The following object is masked from 'package:ggplot2':
    
     annotate
    
    Warning in data("inaugCorpus", package = "quanteda") :
     data set 'inaugCorpus' not found
    Quitting from lines 79-85 (tidying_casting.Rmd)
    Error: processing vignette ‘tidying_casting.Rmd’ failed with diagnostics:
    object ‘inaugCorpus’ not found
    Execution halted
Flavors: r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-patched-linux-x86_64, r-release-linux-x86_64

Version: 0.1.2
Check: tests
Result: ERROR
     Running ‘testthat.R’ [5s/5s]
    Running the tests in ‘tests/testthat.R’ failed.
    Last 13 lines of output:
     5: eval(expr, pf)
     6: quanteda::dfm(quanteda::inaugCorpus)
     7: quanteda::inaugCorpus
     8: getExportedValue(pkg, name)
     9: stop(gettextf("'%s' is not an exported object from 'namespace:%s'", name, getNamespaceName(ns)),
     call. = FALSE, domain = NA)
    
     testthat results ================================================================
     OK: 126 SKIPPED: 0 FAILED: 3
     1. Error: Can tidy corpus from quanteda package (@test-corpus-tidiers.R#23)
     2. Error: can tidy a quanteda dictionary (@test-dictionary-tidiers.R#9)
     3. Error: Can tidy dfm from quanteda (@test-sparse-tidiers.R#28)
    
     Error: testthat unit tests failed
     Execution halted
Flavors: r-devel-linux-x86_64-debian-gcc, r-patched-linux-x86_64, r-release-linux-x86_64

Version: 0.1.2
Flags: --no-stop-on-test-error
Check: examples
Result: ERROR
    Running examples in ‘tidytext-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: corpus_tidiers
    > ### Title: Tidiers for a corpus object from the quanteda package
    > ### Aliases: corpus_tidiers glance.corpus tidy.corpus
    >
    > ### ** Examples
    >
    >
    > if (requireNamespace("quanteda", quietly = FALSE)) {
    + data("inaugCorpus", package = "quanteda")
    +
    + inaugCorpus
    +
    + tidy(inaugCorpus)
    + }
    Loading required namespace: quanteda
    Warning in data("inaugCorpus", package = "quanteda") :
     data set ‘inaugCorpus’ not found
    Error: object 'inaugCorpus' not found
    Execution halted
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc

Version: 0.1.2
Flags: --no-stop-on-test-error
Check: tests
Result: ERROR
     Running ‘testthat.R’ [15s/17s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(tidytext)
     >
     > test_check("tidytext")
     1. Error: Can tidy corpus from quanteda package (@test-corpus-tidiers.R#23) ----
     object 'inaugCorpus' not found
     1: quanteda::texts(inaugCorpus) at testthat/test-corpus-tidiers.R:23
    
     2. Error: can tidy a quanteda dictionary (@test-dictionary-tidiers.R#9) --------
     Dictionary elements must be named:
     1: tidy(d) at testthat/test-dictionary-tidiers.R:9
     2: tidy.dictionary(d)
     3: purrr::map_df(x, function(e) data_frame(word = e, stringsAsFactors = FALSE), .id = "category") %>%
     mutate(category = as.character(category))
     4: eval(lhs, parent, parent)
     5: eval(lhs, parent, parent)
     6: purrr::map_df(x, function(e) data_frame(word = e, stringsAsFactors = FALSE), .id = "category")
     7: map(.x, .f, ...)
     8: .f(.x[[i]], ...)
     9: data_frame(word = e, stringsAsFactors = FALSE)
     10: as_tibble(lst(...))
     11: lst(...)
     12: lst_(lazyeval::lazy_dots(...))
     13: lazyeval::lazy_eval(xs[[i]], output)
     14: eval(x$expr, data, x$env)
     15: eval(x$expr, data, x$env)
     16: .x[[i]]
     17: .x[[i]]
     18: .local(x, i, ...)
     19: new("dictionary", unclass(x)[[i]][is_category], format = x@format, file = x@file,
     concatenator = x@concatenator)
     20: initialize(value, ...)
     21: initialize(value, ...)
     22: validObject(.Object)
     23: anyStrings(validityMethod(object))
     24: validityMethod(object)
     25: validate_dictionary(object)
     26: stop("Dictionary elements must be named: ", paste(unlist(dict, recursive = TRUE),
     collapse = " "))
    
     3. Error: Can tidy dfm from quanteda (@test-sparse-tidiers.R#28) ---------------
     'inaugCorpus' is not an exported object from 'namespace:quanteda'
     1: capture.output(dfm_obj <- quanteda::dfm(quanteda::inaugCorpus)) at testthat/test-sparse-tidiers.R:28
     2: evalVis(expr)
     3: withVisible(eval(expr, pf))
     4: eval(expr, pf)
     5: eval(expr, pf)
     6: quanteda::dfm(quanteda::inaugCorpus)
     7: quanteda::inaugCorpus
     8: getExportedValue(pkg, name)
     9: stop(gettextf("'%s' is not an exported object from 'namespace:%s'", name, getNamespaceName(ns)),
     call. = FALSE, domain = NA)
    
     testthat results ================================================================
     OK: 126 SKIPPED: 0 FAILED: 3
     1. Error: Can tidy corpus from quanteda package (@test-corpus-tidiers.R#23)
     2. Error: can tidy a quanteda dictionary (@test-dictionary-tidiers.R#9)
     3. Error: Can tidy dfm from quanteda (@test-sparse-tidiers.R#28)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-devel-linux-x86_64-fedora-clang

Version: 0.1.2
Flags: --no-stop-on-test-error
Check: re-building of vignette outputs
Result: WARN
    Error in re-building vignettes:
     ...
    
    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
    
    Joining, by = "book"
    `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
    Warning: Removed 896 rows containing non-finite values (stat_bin).
    Loading required package: NLP
    
    Attaching package: 'NLP'
    
    The following object is masked from 'package:ggplot2':
    
     annotate
    
    Warning in data("inaugCorpus", package = "quanteda") :
     data set 'inaugCorpus' not found
    Quitting from lines 79-85 (tidying_casting.Rmd)
    Error: processing vignette 'tidying_casting.Rmd' failed with diagnostics:
    object 'inaugCorpus' not found
    Execution halted
Flavors: r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc

Version: 0.1.2
Flags: --no-stop-on-test-error
Check: tests
Result: ERROR
     Running ‘testthat.R’ [14s/16s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(tidytext)
     >
     > test_check("tidytext")
     1. Error: Can tidy corpus from quanteda package (@test-corpus-tidiers.R#23) ----
     object 'inaugCorpus' not found
     1: quanteda::texts(inaugCorpus) at testthat/test-corpus-tidiers.R:23
    
     2. Error: can tidy a quanteda dictionary (@test-dictionary-tidiers.R#9) --------
     Dictionary elements must be named:
     1: tidy(d) at testthat/test-dictionary-tidiers.R:9
     2: tidy.dictionary(d)
     3: purrr::map_df(x, function(e) data_frame(word = e, stringsAsFactors = FALSE), .id = "category") %>%
     mutate(category = as.character(category))
     4: eval(lhs, parent, parent)
     5: eval(lhs, parent, parent)
     6: purrr::map_df(x, function(e) data_frame(word = e, stringsAsFactors = FALSE), .id = "category")
     7: map(.x, .f, ...)
     8: .f(.x[[i]], ...)
     9: data_frame(word = e, stringsAsFactors = FALSE)
     10: as_tibble(lst(...))
     11: lst(...)
     12: lst_(lazyeval::lazy_dots(...))
     13: lazyeval::lazy_eval(xs[[i]], output)
     14: eval(x$expr, data, x$env)
     15: eval(x$expr, data, x$env)
     16: .x[[i]]
     17: .x[[i]]
     18: .local(x, i, ...)
     19: new("dictionary", unclass(x)[[i]][is_category], format = x@format, file = x@file,
     concatenator = x@concatenator)
     20: initialize(value, ...)
     21: initialize(value, ...)
     22: validObject(.Object)
     23: anyStrings(validityMethod(object))
     24: validityMethod(object)
     25: validate_dictionary(object)
     26: stop("Dictionary elements must be named: ", paste(unlist(dict, recursive = TRUE),
     collapse = " "))
    
     3. Error: Can tidy dfm from quanteda (@test-sparse-tidiers.R#28) ---------------
     'inaugCorpus' is not an exported object from 'namespace:quanteda'
     1: capture.output(dfm_obj <- quanteda::dfm(quanteda::inaugCorpus)) at testthat/test-sparse-tidiers.R:28
     2: evalVis(expr)
     3: withVisible(eval(expr, pf))
     4: eval(expr, pf)
     5: eval(expr, pf)
     6: quanteda::dfm(quanteda::inaugCorpus)
     7: quanteda::inaugCorpus
     8: getExportedValue(pkg, name)
     9: stop(gettextf("'%s' is not an exported object from 'namespace:%s'", name, getNamespaceName(ns)),
     call. = FALSE, domain = NA)
    
     testthat results ================================================================
     OK: 126 SKIPPED: 0 FAILED: 3
     1. Error: Can tidy corpus from quanteda package (@test-corpus-tidiers.R#23)
     2. Error: can tidy a quanteda dictionary (@test-dictionary-tidiers.R#9)
     3. Error: Can tidy dfm from quanteda (@test-sparse-tidiers.R#28)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-devel-linux-x86_64-fedora-gcc

Version: 0.1.2
Check: examples
Result: ERROR
    Running examples in 'tidytext-Ex.R' failed
    The error most likely occurred in:
    
    > ### Name: corpus_tidiers
    > ### Title: Tidiers for a corpus object from the quanteda package
    > ### Aliases: corpus_tidiers glance.corpus tidy.corpus
    >
    > ### ** Examples
    >
    >
    > if (requireNamespace("quanteda", quietly = FALSE)) {
    + data("inaugCorpus", package = "quanteda")
    +
    + inaugCorpus
    +
    + tidy(inaugCorpus)
    + }
    Loading required namespace: quanteda
    Warning in data("inaugCorpus", package = "quanteda") :
     data set 'inaugCorpus' not found
    Error: object 'inaugCorpus' not found
    Execution halted
Flavors: r-devel-windows-ix86+x86_64, r-patched-solaris-sparc, r-patched-solaris-x86, r-release-windows-ix86+x86_64, r-oldrel-windows-ix86+x86_64

Version: 0.1.2
Check: tests
Result: ERROR
     Running 'testthat.R' [9s]
    Running the tests in 'tests/testthat.R' failed.
    Last 13 lines of output:
     5: eval(expr, pf)
     6: quanteda::dfm(quanteda::inaugCorpus)
     7: quanteda::inaugCorpus
     8: getExportedValue(pkg, name)
     9: stop(gettextf("'%s' is not an exported object from 'namespace:%s'", name, getNamespaceName(ns)),
     call. = FALSE, domain = NA)
    
     testthat results ================================================================
     OK: 126 SKIPPED: 0 FAILED: 3
     1. Error: Can tidy corpus from quanteda package (@test-corpus-tidiers.R#23)
     2. Error: can tidy a quanteda dictionary (@test-dictionary-tidiers.R#9)
     3. Error: Can tidy dfm from quanteda (@test-sparse-tidiers.R#28)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-devel-windows-ix86+x86_64

Version: 0.1.2
Check: re-building of vignette outputs
Result: WARN
    Error in re-building vignettes:
     ...
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    Joining, by = "book"
    `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
    Warning: Removed 896 rows containing non-finite values (stat_bin).
    Loading required package: NLP
    
    Attaching package: 'NLP'
    
    The following object is masked from 'package:ggplot2':
    
     annotate
    
    Warning in data("inaugCorpus", package = "quanteda") :
     data set 'inaugCorpus' not found
    Quitting from lines 79-85 (tidying_casting.Rmd)
    Error: processing vignette 'tidying_casting.Rmd' failed with diagnostics:
    object 'inaugCorpus' not found
    Execution halted
Flavors: r-devel-windows-ix86+x86_64, r-release-windows-ix86+x86_64, r-oldrel-windows-ix86+x86_64

Version: 0.1.2
Check: tests
Result: ERROR
     Running ‘testthat.R’ [56s/56s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(tidytext)
     >
     > test_check("tidytext")
     1. Error: Can tidy corpus from quanteda package (@test-corpus-tidiers.R#23) ----
     object 'inaugCorpus' not found
     1: quanteda::texts(inaugCorpus) at testthat/test-corpus-tidiers.R:23
    
     2. Error: can tidy a quanteda dictionary (@test-dictionary-tidiers.R#9) --------
     Dictionary elements must be named:
     1: tidy(d) at testthat/test-dictionary-tidiers.R:9
     2: tidy.dictionary(d)
     3: purrr::map_df(x, function(e) data_frame(word = e, stringsAsFactors = FALSE), .id = "category") %>%
     mutate(category = as.character(category))
     4: eval(lhs, parent, parent)
     5: eval(lhs, parent, parent)
     6: purrr::map_df(x, function(e) data_frame(word = e, stringsAsFactors = FALSE), .id = "category")
     7: map(.x, .f, ...)
     8: .f(.x[[i]], ...)
     9: data_frame(word = e, stringsAsFactors = FALSE)
     10: as_tibble(lst(...))
     11: lst(...)
     12: lst_(lazyeval::lazy_dots(...))
     13: lazyeval::lazy_eval(xs[[i]], output)
     14: eval(x$expr, data, x$env)
     15: eval(x$expr, data, x$env)
     16: .x[[i]]
     17: .x[[i]]
     18: .local(x, i, ...)
     19: new("dictionary", unclass(x)[[i]][is_category], format = x@format, file = x@file,
     concatenator = x@concatenator)
     20: initialize(value, ...)
     21: initialize(value, ...)
     22: validObject(.Object)
     23: anyStrings(validityMethod(object))
     24: validityMethod(object)
     25: validate_dictionary(object)
     26: stop("Dictionary elements must be named: ", paste(unlist(dict, recursive = TRUE),
     collapse = " "))
    
     3. Error: Can tidy dfm from quanteda (@test-sparse-tidiers.R#28) ---------------
     'inaugCorpus' is not an exported object from 'namespace:quanteda'
     1: capture.output(dfm_obj <- quanteda::dfm(quanteda::inaugCorpus)) at testthat/test-sparse-tidiers.R:28
     2: evalVis(expr)
     3: withVisible(eval(expr, pf))
     4: eval(expr, pf)
     5: eval(expr, pf)
     6: quanteda::dfm(quanteda::inaugCorpus)
     7: quanteda::inaugCorpus
     8: getExportedValue(pkg, name)
     9: stop(gettextf("'%s' is not an exported object from 'namespace:%s'", name, getNamespaceName(ns)),
     call. = FALSE, domain = NA)
    
     testthat results ================================================================
     OK: 126 SKIPPED: 0 FAILED: 3
     1. Error: Can tidy corpus from quanteda package (@test-corpus-tidiers.R#23)
     2. Error: can tidy a quanteda dictionary (@test-dictionary-tidiers.R#9)
     3. Error: Can tidy dfm from quanteda (@test-sparse-tidiers.R#28)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-patched-solaris-sparc

Version: 0.1.2
Check: re-building of vignette outputs
Result: WARN
    Error in re-building vignettes:
     ...
    Warning in engine$weave(file, quiet = quiet, encoding = enc) :
     Pandoc (>= 1.12.3) and/or pandoc-citeproc not available. Falling back to R Markdown v1.
    
    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
    
    Joining, by = "book"
    `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
    Warning: Removed 896 rows containing non-finite values (stat_bin).
    Warning in engine$weave(file, quiet = quiet, encoding = enc) :
     Pandoc (>= 1.12.3) and/or pandoc-citeproc not available. Falling back to R Markdown v1.
    Loading required package: NLP
    
    Attaching package: 'NLP'
    
    The following object is masked from 'package:ggplot2':
    
     annotate
    
    Warning in data("inaugCorpus", package = "quanteda") :
     data set 'inaugCorpus' not found
    Quitting from lines 79-85 (tidying_casting.Rmd)
    Error: processing vignette 'tidying_casting.Rmd' failed with diagnostics:
    object 'inaugCorpus' not found
    Execution halted
Flavors: r-patched-solaris-sparc, r-patched-solaris-x86

Version: 0.1.2
Check: tests
Result: ERROR
     Running ‘testthat.R’ [14s/16s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(tidytext)
     >
     > test_check("tidytext")
     1. Error: Can tidy corpus from quanteda package (@test-corpus-tidiers.R#23) ----
     object 'inaugCorpus' not found
     1: quanteda::texts(inaugCorpus) at testthat/test-corpus-tidiers.R:23
    
     2. Error: can tidy a quanteda dictionary (@test-dictionary-tidiers.R#9) --------
     Dictionary elements must be named:
     1: tidy(d) at testthat/test-dictionary-tidiers.R:9
     2: tidy.dictionary(d)
     3: purrr::map_df(x, function(e) data_frame(word = e, stringsAsFactors = FALSE), .id = "category") %>%
     mutate(category = as.character(category))
     4: eval(lhs, parent, parent)
     5: eval(lhs, parent, parent)
     6: purrr::map_df(x, function(e) data_frame(word = e, stringsAsFactors = FALSE), .id = "category")
     7: map(.x, .f, ...)
     8: .f(.x[[i]], ...)
     9: data_frame(word = e, stringsAsFactors = FALSE)
     10: as_tibble(lst(...))
     11: lst(...)
     12: lst_(lazyeval::lazy_dots(...))
     13: lazyeval::lazy_eval(xs[[i]], output)
     14: eval(x$expr, data, x$env)
     15: eval(x$expr, data, x$env)
     16: .x[[i]]
     17: .x[[i]]
     18: .local(x, i, ...)
     19: new("dictionary", unclass(x)[[i]][is_category], format = x@format, file = x@file,
     concatenator = x@concatenator)
     20: initialize(value, ...)
     21: initialize(value, ...)
     22: validObject(.Object)
     23: anyStrings(validityMethod(object))
     24: validityMethod(object)
     25: validate_dictionary(object)
     26: stop("Dictionary elements must be named: ", paste(unlist(dict, recursive = TRUE),
     collapse = " "))
    
     3. Error: Can tidy dfm from quanteda (@test-sparse-tidiers.R#28) ---------------
     'inaugCorpus' is not an exported object from 'namespace:quanteda'
     1: capture.output(dfm_obj <- quanteda::dfm(quanteda::inaugCorpus)) at testthat/test-sparse-tidiers.R:28
     2: evalVis(expr)
     3: withVisible(eval(expr, pf))
     4: eval(expr, pf)
     5: eval(expr, pf)
     6: quanteda::dfm(quanteda::inaugCorpus)
     7: quanteda::inaugCorpus
     8: getExportedValue(pkg, name)
     9: stop(gettextf("'%s' is not an exported object from 'namespace:%s'", name, getNamespaceName(ns)),
     call. = FALSE, domain = NA)
    
     testthat results ================================================================
     OK: 126 SKIPPED: 0 FAILED: 3
     1. Error: Can tidy corpus from quanteda package (@test-corpus-tidiers.R#23)
     2. Error: can tidy a quanteda dictionary (@test-dictionary-tidiers.R#9)
     3. Error: Can tidy dfm from quanteda (@test-sparse-tidiers.R#28)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-patched-solaris-x86

Version: 0.1.2
Check: tests
Result: ERROR
     Running 'testthat.R' [10s]
    Running the tests in 'tests/testthat.R' failed.
    Last 13 lines of output:
     5: eval(expr, pf)
     6: quanteda::dfm(quanteda::inaugCorpus)
     7: quanteda::inaugCorpus
     8: getExportedValue(pkg, name)
     9: stop(gettextf("'%s' is not an exported object from 'namespace:%s'", name, getNamespaceName(ns)),
     call. = FALSE, domain = NA)
    
     testthat results ================================================================
     OK: 126 SKIPPED: 0 FAILED: 3
     1. Error: Can tidy corpus from quanteda package (@test-corpus-tidiers.R#23)
     2. Error: can tidy a quanteda dictionary (@test-dictionary-tidiers.R#9)
     3. Error: Can tidy dfm from quanteda (@test-sparse-tidiers.R#28)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-release-windows-ix86+x86_64

Version: 0.1.2
Check: package dependencies
Result: NOTE
    Package suggested but not available for checking: ‘topicmodels’
Flavor: r-release-osx-x86_64

Version: 0.1.2
Check: examples
Result: ERROR
    Running examples in ‘tidytext-Ex.R’ failed
    The error most likely occurred in:
    
    > ### Name: lda_tidiers
    > ### Title: Tidiers for LDA objects from the topicmodels package
    > ### Aliases: augment.LDA glance.LDA lda_tidiers tidy.LDA
    >
    > ### ** Examples
    >
    >
    > set.seed(2016)
    > 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
    
    > library(topicmodels)
    Error in library(topicmodels) : there is no package called ‘topicmodels’
    Execution halted
Flavor: r-release-osx-x86_64

Version: 0.1.2
Check: tests
Result: ERROR
     Running ‘testthat.R’ [4s/6s]
    Running the tests in ‘tests/testthat.R’ failed.
    Complete output:
     > library(testthat)
     > library(tidytext)
     >
     > test_check("tidytext")
     Error in library(topicmodels) : there is no package called 'topicmodels'
     Calls: test_check ... with_reporter -> force -> source_file -> eval -> eval -> library
     testthat results ================================================================
     OK: 10 SKIPPED: 0 FAILED: 0
     Execution halted
Flavor: r-release-osx-x86_64

Version: 0.1.2
Check: re-building of vignette outputs
Result: WARN
    Error in re-building vignettes:
     ...
    The following objects are masked from 'package:stats':
    
     filter, lag
    
    The following objects are masked from 'package:base':
    
     intersect, setdiff, setequal, union
    
    Joining, by = "book"
    `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
    Warning: Removed 896 rows containing non-finite values (stat_bin).
    Warning in engine$weave(file, quiet = quiet, encoding = enc) :
     Pandoc (>= 1.12.3) and/or pandoc-citeproc not available. Falling back to R Markdown v1.
    Loading required package: NLP
    
    Attaching package: 'NLP'
    
    The following object is masked from 'package:ggplot2':
    
     annotate
    
    Quitting from lines 23-26 (tidying_casting.Rmd)
    Error: processing vignette 'tidying_casting.Rmd' failed with diagnostics:
    there is no package called 'topicmodels'
    Execution halted
Flavor: r-release-osx-x86_64

Version: 0.1.2
Check: tests
Result: ERROR
     Running 'testthat.R' [8s]
    Running the tests in 'tests/testthat.R' failed.
    Last 13 lines of output:
     5: eval(expr, envir, enclos)
     6: quanteda::dfm(quanteda::inaugCorpus)
     7: quanteda::inaugCorpus
     8: getExportedValue(pkg, name)
     9: stop(gettextf("'%s' is not an exported object from 'namespace:%s'", name, getNamespaceName(ns)),
     call. = FALSE, domain = NA)
    
     testthat results ================================================================
     OK: 126 SKIPPED: 0 FAILED: 3
     1. Error: Can tidy corpus from quanteda package (@test-corpus-tidiers.R#23)
     2. Error: can tidy a quanteda dictionary (@test-dictionary-tidiers.R#9)
     3. Error: Can tidy dfm from quanteda (@test-sparse-tidiers.R#28)
    
     Error: testthat unit tests failed
     Execution halted
Flavor: r-oldrel-windows-ix86+x86_64