Error in doc_parse_raw when running `reprex` #220

JiaxiangBU · 2018-11-01T18:18:26Z

When I use reprex function, there is an error happening.

> reprex:::reprex_addin()
Loading required package: shiny
Rendering reprex...
Error in doc_parse_raw(x, encoding = encoding, base_url = base_url, as_html = as_html,  : 
  Start tag expected, '<' not found [4]

Here is the code I run and the error happen.

library(tidyverse)
library(data.table)
library(lubridate)
set.seed(123)
data.table(
    date = today() + 1:1000
    ,value = rnorm(1000,0,10)
    # sim stock price
) %>% 
    mutate(
        date = floor_date(date, unit = 'halfyear')
        # I suggest you maintain the date in yyyy-mm-dd type
    ) %>% 
    group_by(date) %>% 
    summarise(value = mean(value)) %>% 
    ggplot(aes(date,value)) +
    geom_line() + 
    scale_x_date(breaks = '6 month')

The text was updated successfully, but these errors were encountered:

jennybc · 2018-11-01T19:55:57Z

I can't reproduce this at all.

What type of input are you specifying with the addin? I've tried and succeeded with "on the clipboard", "current selection", and "current file".

Can anyone provide session info?

batpigandme · 2018-11-01T20:33:16Z

When I was able to reproduce it (which only happened once) here was the error info:

 Error in parse(text = x, keep.source = TRUE) : 
  <text>:26:0: unexpected end of input
24: 
25: 
   ^ 
4.
stop(.globals$retval) 
3.
shiny::runApp(app, port = port, launch.browser = viewer) 
2.
shiny::runGadget(app, viewer = shiny::dialogViewer("Render reprex")) 
1.
reprex:::reprex_addin()

I can't reproduce it now, which means I can render it with sessionInfo (from reprex)

library(tidyverse)
library(data.table)
#> 
#> Attaching package: 'data.table'
#> The following objects are masked from 'package:dplyr':
#> 
#>     between, first, last
#> The following object is masked from 'package:purrr':
#> 
#>     transpose
library(lubridate)
#> 
#> Attaching package: 'lubridate'
#> The following objects are masked from 'package:data.table':
#> 
#>     hour, isoweek, mday, minute, month, quarter, second, wday,
#>     week, yday, year
#> The following object is masked from 'package:base':
#> 
#>     date
set.seed(123)
data.table(
    date = today() + 1:1000
    ,value = rnorm(1000,0,10)
    # sim stock price
) %>% 
    mutate(
        date = floor_date(date, unit = 'halfyear')
        # I suggest you maintain the date in yyyy-mm-dd type
    ) %>% 
    group_by(date) %>% 
    summarise(value = mean(value)) %>% 
    ggplot(aes(date,value)) +
    geom_line() + 
    scale_x_date(breaks = '6 month')

^{Created on 2018-11-01 by the reprex package (v0.2.1.9000)}

Session info

devtools::session_info()
#> ─ Session info ──────────────────────────────────────────────────────────
#>  setting  value                       
#>  version  R version 3.5.1 (2018-07-02)
#>  os       macOS Sierra 10.12.6        
#>  system   x86_64, darwin15.6.0        
#>  ui       X11                         
#>  language (EN)                        
#>  collate  en_US.UTF-8                 
#>  ctype    en_US.UTF-8                 
#>  tz       America/New_York            
#>  date     2018-11-01                  
#> 
#> ─ Packages ──────────────────────────────────────────────────────────────
#>  package     * version     date       lib
#>  assertthat    0.2.0       2017-04-11 [1]
#>  backports     1.1.2       2017-12-13 [1]
#>  base64enc     0.1-3       2015-07-28 [1]
#>  broom         0.5.0       2018-07-17 [1]
#>  callr         3.0.0       2018-08-24 [1]
#>  cellranger    1.1.0       2016-07-27 [1]
#>  cli           1.0.1       2018-09-25 [1]
#>  colorspace    1.3-2       2016-12-14 [1]
#>  crayon        1.3.4       2018-10-31 [1]
#>  curl          3.2         2018-03-28 [1]
#>  data.table  * 1.11.8      2018-09-30 [1]
#>  debugme       1.1.0       2017-10-22 [1]
#>  desc          1.2.0       2018-05-01 [1]
#>  devtools      2.0.1       2018-10-26 [1]
#>  digest        0.6.18      2018-10-10 [1]
#>  dplyr       * 0.7.99.9000 2018-10-31 [1]
#>  evaluate      0.12        2018-10-09 [1]
#>  forcats     * 0.3.0       2018-02-19 [1]
#>  fs            1.2.6       2018-08-23 [1]
#>  ggplot2     * 3.1.0.9000  2018-10-30 [1]
#>  glue          1.3.0       2018-10-29 [1]
#>  gtable        0.2.0.9000  2018-11-01 [1]
#>  haven         1.1.2       2018-06-27 [1]
#>  highr         0.7         2018-06-09 [1]
#>  hms           0.4.2.9001  2018-08-22 [1]
#>  htmltools     0.3.6       2017-04-28 [1]
#>  httr          1.3.1       2017-08-20 [1]
#>  jsonlite      1.5         2017-06-01 [1]
#>  knitr         1.20.21     2018-10-23 [1]
#>  labeling      0.3         2014-08-23 [1]
#>  lattice       0.20-35     2017-03-25 [1]
#>  lazyeval      0.2.1       2017-10-29 [1]
#>  lubridate   * 1.7.4       2018-04-11 [1]
#>  magrittr      1.5         2014-11-22 [1]
#>  memoise       1.1.0       2017-04-21 [1]
#>  mime          0.6         2018-10-05 [1]
#>  modelr        0.1.2       2018-05-11 [1]
#>  munsell       0.5.0       2018-06-12 [1]
#>  nlme          3.1-137     2018-04-07 [1]
#>  pillar        1.3.0.9001  2018-10-17 [1]
#>  pkgbuild      1.0.2       2018-10-16 [1]
#>  pkgconfig     2.0.2       2018-08-16 [1]
#>  pkgload       1.0.2       2018-10-29 [1]
#>  plyr          1.8.4       2016-06-08 [1]
#>  prettyunits   1.0.2       2015-07-13 [1]
#>  processx      3.2.0       2018-08-16 [1]
#>  ps            1.2.0       2018-10-16 [1]
#>  purrr       * 0.2.5       2018-05-29 [1]
#>  R6            2.3.0       2018-10-04 [1]
#>  Rcpp          0.12.19.3   2018-10-15 [1]
#>  readr       * 1.2.0       2018-10-25 [1]
#>  readxl        1.1.0.9000  2018-10-24 [1]
#>  remotes       2.0.2       2018-10-30 [1]
#>  rlang         0.3.0.9000  2018-10-29 [1]
#>  rmarkdown     1.10        2018-06-11 [1]
#>  rprojroot     1.3-2       2018-01-03 [1]
#>  rvest         0.3.2       2016-06-17 [1]
#>  scales        1.0.0.9000  2018-10-30 [1]
#>  sessioninfo   1.1.0.9001  2018-11-01 [1]
#>  stringi       1.2.4       2018-07-20 [1]
#>  stringr     * 1.3.1       2018-05-10 [1]
#>  testthat      2.0.1       2018-10-13 [1]
#>  tibble      * 1.4.2       2018-01-22 [1]
#>  tidyr       * 0.8.2.9000  2018-10-31 [1]
#>  tidyselect    0.2.5       2018-10-11 [1]
#>  tidyverse   * 1.2.1.9000  2018-08-21 [1]
#>  usethis       1.4.0.9000  2018-10-29 [1]
#>  withr         2.1.2       2018-03-15 [1]
#>  xfun          0.4         2018-10-23 [1]
#>  xml2          1.2.0       2018-01-24 [1]
#>  yaml          2.2.0       2018-07-25 [1]
#>  source                              
#>  CRAN (R 3.5.0)                      
#>  CRAN (R 3.5.0)                      
#>  CRAN (R 3.5.0)                      
#>  CRAN (R 3.5.0)                      
#>  CRAN (R 3.5.0)                      
#>  CRAN (R 3.5.0)                      
#>  CRAN (R 3.5.0)                      
#>  CRAN (R 3.5.0)                      
#>  Github (r-lib/crayon@0398b12)       
#>  CRAN (R 3.5.0)                      
#>  CRAN (R 3.5.0)                      
#>  CRAN (R 3.5.0)                      
#>  CRAN (R 3.5.0)                      
#>  CRAN (R 3.5.1)                      
#>  CRAN (R 3.5.0)                      
#>  Github (tidyverse/dplyr@78dd867)    
#>  CRAN (R 3.5.0)                      
#>  CRAN (R 3.5.0)                      
#>  CRAN (R 3.5.0)                      
#>  Github (tidyverse/ggplot2@765f4de)  
#>  Github (tidyverse/glue@35c61e9)     
#>  Github (r-lib/gtable@6af591d)       
#>  CRAN (R 3.5.0)                      
#>  CRAN (R 3.5.0)                      
#>  Github (tidyverse/hms@979286f)      
#>  CRAN (R 3.5.0)                      
#>  CRAN (R 3.5.0)                      
#>  CRAN (R 3.5.0)                      
#>  Github (yihui/knitr@6c61415)        
#>  CRAN (R 3.5.0)                      
#>  CRAN (R 3.5.1)                      
#>  CRAN (R 3.5.0)                      
#>  CRAN (R 3.5.0)                      
#>  CRAN (R 3.5.0)                      
#>  CRAN (R 3.5.0)                      
#>  CRAN (R 3.5.0)                      
#>  CRAN (R 3.5.0)                      
#>  CRAN (R 3.5.0)                      
#>  CRAN (R 3.5.1)                      
#>  Github (r-lib/pillar@c5bf622)       
#>  CRAN (R 3.5.0)                      
#>  CRAN (R 3.5.0)                      
#>  CRAN (R 3.5.1)                      
#>  CRAN (R 3.5.0)                      
#>  CRAN (R 3.5.0)                      
#>  CRAN (R 3.5.0)                      
#>  CRAN (R 3.5.0)                      
#>  CRAN (R 3.5.0)                      
#>  CRAN (R 3.5.0)                      
#>  Github (RcppCore/Rcpp@a669a19)      
#>  Github (tidyverse/readr@69c9fd3)    
#>  Github (tidyverse/readxl@763ca6d)   
#>  CRAN (R 3.5.1)                      
#>  Github (r-lib/rlang@eb17969)        
#>  CRAN (R 3.5.0)                      
#>  CRAN (R 3.5.0)                      
#>  CRAN (R 3.5.0)                      
#>  Github (r-lib/scales@b5c43b4)       
#>  Github (r-lib/sessioninfo@5b02efa)  
#>  CRAN (R 3.5.0)                      
#>  CRAN (R 3.5.0)                      
#>  CRAN (R 3.5.0)                      
#>  CRAN (R 3.5.0)                      
#>  Github (tidyverse/tidyr@6c0e510)    
#>  CRAN (R 3.5.1)                      
#>  Github (tidyverse/tidyverse@66e8bbd)
#>  Github (r-lib/usethis@44dd72c)      
#>  CRAN (R 3.5.0)                      
#>  CRAN (R 3.5.0)                      
#>  CRAN (R 3.5.0)                      
#>  CRAN (R 3.5.0)                      
#> 
#> [1] /Library/Frameworks/R.framework/Versions/3.5/Resources/library

jennybc · 2018-11-01T22:46:28Z

No obvious explanation leaps out from @batpigandme's session info.

batpigandme · 2018-11-01T22:56:13Z

@JiaxiangBU, if you could share yours, that might help. 🙂 Thanks

jennybc · 2018-11-01T23:03:39Z

Also, your exact usage of the addin.

JiaxiangBU · 2018-11-02T02:21:39Z

Hi @jennybc @batpigandme , Thanks for your replies. I try this code from my two computer, one Mac and one Win. Same error happens on Both. I will share the session infos both here.
@jennybc I use the add-in Render reprex.

Mac

> reprex:::reprex_addin()
Rendering reprex...
Error in doc_parse_raw(x, encoding = encoding, base_url = base_url, as_html = as_html,  : 
  Start tag expected, '<' not found [4]

'show session info'
#> [1] "show session info"

Created on 2018-11-02 by the reprex
package (v0.2.0).

Session info

devtools::session_info()
#> Session info -------------------------------------------------------------
#>  setting  value                       
#>  version  R version 3.5.1 (2018-07-02)
#>  system   x86_64, darwin15.6.0        
#>  ui       X11                         
#>  language (EN)                        
#>  collate  zh_CN.UTF-8                 
#>  tz       Asia/Shanghai               
#>  date     2018-11-02
#> Packages -----------------------------------------------------------------
#>  package   * version date       source         
#>  backports   1.1.2   2017-12-13 CRAN (R 3.5.0) 
#>  base      * 3.5.1   2018-07-05 local          
#>  compiler    3.5.1   2018-07-05 local          
#>  datasets  * 3.5.1   2018-07-05 local          
#>  devtools    1.13.6  2018-06-27 CRAN (R 3.5.0) 
#>  digest      0.6.16  2018-08-22 cran (@0.6.16) 
#>  evaluate    0.11    2018-07-17 CRAN (R 3.5.0) 
#>  graphics  * 3.5.1   2018-07-05 local          
#>  grDevices * 3.5.1   2018-07-05 local          
#>  htmltools   0.3.6   2017-04-28 CRAN (R 3.5.0) 
#>  knitr       1.20    2018-02-20 CRAN (R 3.5.0) 
#>  magrittr    1.5     2014-11-22 CRAN (R 3.5.0) 
#>  memoise     1.1.0   2017-04-21 CRAN (R 3.5.0) 
#>  methods   * 3.5.1   2018-07-05 local          
#>  Rcpp        0.12.19 2018-10-01 cran (@0.12.19)
#>  rmarkdown   1.10    2018-06-11 CRAN (R 3.5.0) 
#>  rprojroot   1.3-2   2018-01-03 CRAN (R 3.5.0) 
#>  stats     * 3.5.1   2018-07-05 local          
#>  stringi     1.2.4   2018-07-20 CRAN (R 3.5.0) 
#>  stringr     1.3.1   2018-05-10 CRAN (R 3.5.0) 
#>  tools       3.5.1   2018-07-05 local          
#>  utils     * 3.5.1   2018-07-05 local          
#>  withr       2.1.2   2018-03-15 CRAN (R 3.5.0) 
#>  yaml        2.2.0   2018-07-25 CRAN (R 3.5.0)

Win


> reprex:::reprex_addin()
Loading required package: shiny
Rendering reprex...
Error in doc_parse_raw(x, encoding = encoding, base_url = base_url, as_html = as_html,  : 
  Start tag expected, '<' not found [4]
later: interrupt occurred while executing callback.

'show session info'
#> [1] "show session info"

^{Created on 2018-11-02 by the reprex package (v0.2.1)}

Session info

devtools::session_info()
#> Session info -------------------------------------------------------------
#>  setting  value                                              
#>  version  R version 3.4.4 (2018-03-15)                       
#>  system   x86_64, mingw32                                    
#>  ui       RTerm                                              
#>  language (EN)                                               
#>  collate  Chinese (Simplified)_People's Republic of China.936
#>  tz       Asia/Taipei                                        
#>  date     2018-11-02
#> Packages -----------------------------------------------------------------
#>  package   * version date       source        
#>  backports   1.1.2   2017-12-13 CRAN (R 3.4.3)
#>  base      * 3.4.4   2018-03-15 local         
#>  compiler    3.4.4   2018-03-15 local         
#>  datasets  * 3.4.4   2018-03-15 local         
#>  devtools    1.13.5  2018-02-18 CRAN (R 3.4.3)
#>  digest      0.6.18  2018-10-10 CRAN (R 3.4.4)
#>  evaluate    0.10.1  2017-06-24 CRAN (R 3.4.3)
#>  graphics  * 3.4.4   2018-03-15 local         
#>  grDevices * 3.4.4   2018-03-15 local         
#>  htmltools   0.3.6   2017-04-28 CRAN (R 3.4.3)
#>  knitr       1.20    2018-02-20 CRAN (R 3.4.3)
#>  magrittr    1.5     2014-11-22 CRAN (R 3.4.3)
#>  memoise     1.1.0   2017-04-21 CRAN (R 3.4.4)
#>  methods   * 3.4.4   2018-03-15 local         
#>  Rcpp        0.12.18 2018-07-23 CRAN (R 3.4.4)
#>  rmarkdown   1.10    2018-06-11 CRAN (R 3.4.4)
#>  rprojroot   1.3-2   2018-01-03 CRAN (R 3.4.3)
#>  stats     * 3.4.4   2018-03-15 local         
#>  stringi     1.1.7   2018-03-12 CRAN (R 3.4.4)
#>  stringr     1.3.1   2018-05-10 CRAN (R 3.4.4)
#>  tools       3.4.4   2018-03-15 local         
#>  utils     * 3.4.4   2018-03-15 local         
#>  withr       2.1.2   2018-03-15 CRAN (R 3.4.4)
#>  yaml        2.2.0   2018-07-25 CRAN (R 3.4.4)

JiaxiangBU · 2018-11-02T02:36:22Z

And I find the bug from the ggplot code line ggplot(aes(date,value)) +.

Here are results I test.

library(tidyverse)
library(data.table)
#> 
#> 载入程辑包：'data.table'
#> The following objects are masked from 'package:dplyr':
#> 
#>     between, first, last
#> The following object is masked from 'package:purrr':
#> 
#>     transpose
library(lubridate)
#> 
#> 载入程辑包：'lubridate'
#> The following objects are masked from 'package:data.table':
#> 
#>     hour, isoweek, mday, minute, month, quarter, second, wday,
#>     week, yday, year
#> The following object is masked from 'package:base':
#> 
#>     date
set.seed(123)
data.table(
    date = today() + 1:1000
    ,value = rnorm(1000,0,10)
    # sim stock price
) %>% 
    mutate(
        date = floor_date(date, unit = 'halfyear')
        # I suggest you maintain the date in yyyy-mm-dd type
    ) %>% 
    group_by(date) %>% 
    summarise(value = mean(value))
#> # A tibble: 7 x 2
#>   date        value
#>   <date>      <dbl>
#> 1 2018-07-01  0.631
#> 2 2019-01-01 -0.277
#> 3 2019-07-01  0.393
#> 4 2020-01-01  0.396
#> 5 2020-07-01 -0.360
#> 6 2021-01-01  0.769
#> 7 2021-07-01 -1.48

^{Created on 2018-11-02 by the reprex package (v0.2.1)}

Session info

devtools::session_info()
#> Session info -------------------------------------------------------------
#>  setting  value                                              
#>  version  R version 3.4.4 (2018-03-15)                       
#>  system   x86_64, mingw32                                    
#>  ui       RTerm                                              
#>  language (EN)                                               
#>  collate  Chinese (Simplified)_People's Republic of China.936
#>  tz       Asia/Taipei                                        
#>  date     2018-11-02
#> Packages -----------------------------------------------------------------
#>  package    * version    date       source                            
#>  assertthat   0.2.0      2017-04-11 CRAN (R 3.4.3)                    
#>  backports    1.1.2      2017-12-13 CRAN (R 3.4.3)                    
#>  base       * 3.4.4      2018-03-15 local                             
#>  bindr        0.1.1      2018-03-13 CRAN (R 3.4.4)                    
#>  bindrcpp   * 0.2.2      2018-03-29 CRAN (R 3.4.4)                    
#>  broom        0.5.0      2018-07-17 CRAN (R 3.4.4)                    
#>  cellranger   1.1.0      2016-07-27 CRAN (R 3.4.3)                    
#>  cli          1.0.0      2017-11-05 CRAN (R 3.4.3)                    
#>  colorspace   1.3-2      2016-12-14 CRAN (R 3.4.3)                    
#>  compiler     3.4.4      2018-03-15 local                             
#>  crayon       1.3.4      2017-09-16 CRAN (R 3.4.3)                    
#>  data.table * 1.11.8     2018-09-30 CRAN (R 3.4.4)                    
#>  datasets   * 3.4.4      2018-03-15 local                             
#>  devtools     1.13.5     2018-02-18 CRAN (R 3.4.3)                    
#>  digest       0.6.18     2018-10-10 CRAN (R 3.4.4)                    
#>  dplyr      * 0.7.7      2018-10-16 CRAN (R 3.4.4)                    
#>  evaluate     0.10.1     2017-06-24 CRAN (R 3.4.3)                    
#>  fansi        0.2.3      2018-05-06 CRAN (R 3.4.4)                    
#>  forcats    * 0.3.0      2018-02-19 CRAN (R 3.4.3)                    
#>  ggplot2    * 3.1.0      2018-10-30 Github (tidyverse/ggplot2@0e29a19)
#>  glue         1.3.0      2018-07-17 CRAN (R 3.4.4)                    
#>  graphics   * 3.4.4      2018-03-15 local                             
#>  grDevices  * 3.4.4      2018-03-15 local                             
#>  grid         3.4.4      2018-03-15 local                             
#>  gtable       0.2.0      2016-02-26 CRAN (R 3.4.3)                    
#>  haven        1.1.1      2018-01-18 CRAN (R 3.4.3)                    
#>  hms          0.4.2      2018-03-10 CRAN (R 3.4.4)                    
#>  htmltools    0.3.6      2017-04-28 CRAN (R 3.4.3)                    
#>  httr         1.3.1      2017-08-20 CRAN (R 3.4.3)                    
#>  jsonlite     1.5        2017-06-01 CRAN (R 3.4.3)                    
#>  knitr        1.20       2018-02-20 CRAN (R 3.4.3)                    
#>  lattice      0.20-35    2017-03-25 CRAN (R 3.4.4)                    
#>  lazyeval     0.2.1      2017-10-29 CRAN (R 3.4.3)                    
#>  lubridate  * 1.7.4      2018-04-11 CRAN (R 3.4.4)                    
#>  magrittr     1.5        2014-11-22 CRAN (R 3.4.3)                    
#>  memoise      1.1.0      2017-04-21 CRAN (R 3.4.4)                    
#>  methods    * 3.4.4      2018-03-15 local                             
#>  modelr       0.1.2      2018-05-11 CRAN (R 3.4.4)                    
#>  munsell      0.5.0      2018-06-12 CRAN (R 3.4.4)                    
#>  nlme         3.1-137    2018-04-07 CRAN (R 3.4.4)                    
#>  pillar       1.3.0.9000 2018-07-30 Github (r-lib/pillar@7582a75)     
#>  pkgconfig    2.0.1      2017-03-21 CRAN (R 3.4.3)                    
#>  plyr         1.8.4      2016-06-08 CRAN (R 3.4.3)                    
#>  purrr      * 0.2.5      2018-05-29 CRAN (R 3.4.4)                    
#>  R6           2.3.0      2018-10-04 CRAN (R 3.4.4)                    
#>  Rcpp         0.12.18    2018-07-23 CRAN (R 3.4.4)                    
#>  readr      * 1.1.1      2017-05-16 CRAN (R 3.4.3)                    
#>  readxl       1.1.0      2018-04-20 CRAN (R 3.4.4)                    
#>  rlang        0.3.0.1    2018-10-25 CRAN (R 3.4.4)                    
#>  rmarkdown    1.10       2018-06-11 CRAN (R 3.4.4)                    
#>  rprojroot    1.3-2      2018-01-03 CRAN (R 3.4.3)                    
#>  rvest        0.3.2      2016-06-17 CRAN (R 3.4.3)                    
#>  scales       1.0.0      2018-08-09 CRAN (R 3.4.4)                    
#>  stats      * 3.4.4      2018-03-15 local                             
#>  stringi      1.1.7      2018-03-12 CRAN (R 3.4.4)                    
#>  stringr    * 1.3.1      2018-05-10 CRAN (R 3.4.4)                    
#>  tibble     * 1.4.2      2018-01-22 CRAN (R 3.4.3)                    
#>  tidyr      * 0.8.0      2018-01-29 CRAN (R 3.4.3)                    
#>  tidyselect   0.2.4      2018-02-26 CRAN (R 3.4.3)                    
#>  tidyverse  * 1.2.1      2017-11-14 CRAN (R 3.4.4)                    
#>  tools        3.4.4      2018-03-15 local                             
#>  utf8         1.1.4      2018-05-24 CRAN (R 3.4.4)                    
#>  utils      * 3.4.4      2018-03-15 local                             
#>  withr        2.1.2      2018-03-15 CRAN (R 3.4.4)                    
#>  xml2         1.2.0      2018-01-24 CRAN (R 3.4.3)                    
#>  yaml         2.2.0      2018-07-25 CRAN (R 3.4.4)

When I add the ggplot code line.

library(tidyverse)
library(data.table)
library(lubridate)
set.seed(123)
data.table(
    date = today() + 1:1000
    ,value = rnorm(1000,0,10)
    # sim stock price
) %>% 
    mutate(
        date = floor_date(date, unit = 'halfyear')
        # I suggest you maintain the date in yyyy-mm-dd type
    ) %>% 
    group_by(date) %>% 
    summarise(value = mean(value)) %>% 
    ggplot(aes(date,value))

The error message happens.

> reprex:::reprex_addin()
Rendering reprex...
Error in doc_parse_raw(x, encoding = encoding, base_url = base_url, as_html = as_html,  : 
  Start tag expected, '<' not found [4]

jennybc · 2018-11-02T03:28:46Z

FYI you have an outdated version of reprex installed on Mac: v0.2.0. The current version is 0.2.1, which you have on the Windows machine. That is not our problem here, but you might as well update that.

When you use the addin, can you please tell me what you have selected for Where is reprex source?

What happens when you copy this code to your clipboard and just call reprex() in the R Console? I'm trying to figure out if the addin has anything to do with this.

What output do you see for this code when you run it in the Console? The problem appears to be the result of some combination of an (error?) message from ggplot2, your locale (zh_CN.UTF-8 on macOS, Chinese (Simplified)_People's Republic of China.936 on Windows), and reprex (maybe just the addin?).

JiaxiangBU · 2018-11-02T10:33:41Z

@jennybc In the picture, I click the default option (the first one).
Also, I type reprex() function in the console and fail too.
In the failture, the job is loading and after about 10s, the job returns the error message (on Mac).

> reprex:::reprex_addin()
Rendering reprex...
Error in doc_parse_raw(x, encoding = encoding, base_url = base_url, as_html = as_html,  : 
  Start tag expected, '<' not found [4]

I am sure the error results from ggplot2.

I try to delete the pipeline %>% and create a temporal variable for ggplot2 but fail too.
Maybe it results from my locale, but I find if I don't use ggplot2 function, I successfully run reprex all the time.

Thus, I will update the reprex package to have a try.

Thank you for your reply.

jennybc · 2018-11-02T15:24:05Z

OK I repeat this request:

What output do you see for this code when you run it in the Console? The problem appears to be the result of some combination of an (error?) message from ggplot2, your locale (zh_CN.UTF-8 on macOS, Chinese (Simplified)_People's Republic of China.936 on Windows), and reprex (maybe just the addin?).

If I could see the exact Console output from the ggplot2 call, it might shed light on why it breaks reprex. I cannot solve this problem with information, as I cannot reproduce it myself, as I don't have your Chinese locale.

JiaxiangBU · 2018-11-02T15:38:00Z

@jennybc Hi, I don't know how to show this bug well. You can check it in these screenshots below.
And I reinstall and update the packages ggplot2 and reprex.

jennybc · 2018-11-02T19:11:51Z

When you run this code snippet "live" in RStudio, does ggplot produce any errors or messages in the Console?

I don't get any errors or messages. I get this:

> library(tidyverse)
── Attaching packages ─────────────────────────────────────────────── tidyverse 1.2.1 ──
✔ ggplot2 3.1.0           ✔ purrr   0.2.5      
✔ tibble  1.4.99.9005     ✔ dplyr   0.7.7      
✔ tidyr   0.8.1           ✔ stringr 1.3.1      
✔ readr   1.1.1           ✔ forcats 0.3.0      
── Conflicts ────────────────────────────────────────────────── tidyverse_conflicts() ──
✖ dplyr::filter()  masks stats::filter()
✖ purrr::is_null() masks testthat::is_null()
✖ dplyr::lag()     masks stats::lag()
✖ dplyr::matches() masks testthat::matches()
> library(data.table)
data.table 1.11.8  Latest news: r-datatable.com
> library(lubridate)
> set.seed(123)
> data.table(
+   date = today() + 1:1000
+   ,value = rnorm(1000,0,10)
+   # sim stock price
+ ) %>% 
+   mutate(
+     date = floor_date(date, unit = 'halfyear')
+     # I suggest you maintain the date in yyyy-mm-dd type
+   ) %>% 
+   group_by(date) %>% 
+   summarise(value = mean(value)) %>% 
+   ggplot(aes(date,value)) +
+   geom_line() + 
+   scale_x_date(breaks = '6 month')

and the desired plot. Do you get any errors, messages, or warnings? Do you get the plot?

JiaxiangBU · 2018-11-03T09:36:11Z

@jennybc No, there is no any message from ggplot. And the screenshots are step by step ...

jennybc · 2018-11-03T16:38:15Z

OK thanks. Hmm, not clear where to start here.

jennybc · 2018-11-03T22:57:41Z

@JiaxiangBU Can you show me your session info? You can just do reprex("hello!", si = TRUE) to get that and paste here.

Also, can you run the following modified version of your original code? Note I have added some lines at the top.

#+ setup, include = FALSE
knitr::opts_knit$set(upload.fun = identity)

#+ original example
library(tidyverse)
library(data.table)
library(lubridate)
set.seed(123)
data.table(
  date = today() + 1:1000
  ,value = rnorm(1000,0,10)
  # sim stock price
) %>% 
  mutate(
    date = floor_date(date, unit = 'halfyear')
    # I suggest you maintain the date in yyyy-mm-dd type
  ) %>% 
  group_by(date) %>% 
  summarise(value = mean(value)) %>% 
  ggplot(aes(date,value)) +
  geom_line() + 
  scale_x_date(breaks = '6 month')

JiaxiangBU · 2018-11-05T03:26:26Z

@jennybc OK, I test this code and feedback the session information from both Mac and Win.

Mac

"hello!"
#> [1] "hello!"

^{Created on 2018-11-05 by the reprex package (v0.2.1)}

Session info

devtools::session_info()
#> Session info -------------------------------------------------------------
#>  setting  value                       
#>  version  R version 3.5.1 (2018-07-02)
#>  system   x86_64, darwin15.6.0        
#>  ui       X11                         
#>  language (EN)                        
#>  collate  zh_CN.UTF-8                 
#>  tz       Asia/Shanghai               
#>  date     2018-11-05
#> Packages -----------------------------------------------------------------
#>  package   * version date       source         
#>  backports   1.1.2   2017-12-13 CRAN (R 3.5.0) 
#>  base      * 3.5.1   2018-07-05 local          
#>  compiler    3.5.1   2018-07-05 local          
#>  datasets  * 3.5.1   2018-07-05 local          
#>  devtools    1.13.6  2018-06-27 CRAN (R 3.5.0) 
#>  digest      0.6.16  2018-08-22 cran (@0.6.16) 
#>  evaluate    0.11    2018-07-17 CRAN (R 3.5.0) 
#>  graphics  * 3.5.1   2018-07-05 local          
#>  grDevices * 3.5.1   2018-07-05 local          
#>  htmltools   0.3.6   2017-04-28 CRAN (R 3.5.0) 
#>  knitr       1.20    2018-02-20 CRAN (R 3.5.0) 
#>  magrittr    1.5     2014-11-22 CRAN (R 3.5.0) 
#>  memoise     1.1.0   2017-04-21 CRAN (R 3.5.0) 
#>  methods   * 3.5.1   2018-07-05 local          
#>  Rcpp        0.12.19 2018-10-01 cran (@0.12.19)
#>  rmarkdown   1.10    2018-06-11 CRAN (R 3.5.0) 
#>  rprojroot   1.3-2   2018-01-03 CRAN (R 3.5.0) 
#>  stats     * 3.5.1   2018-07-05 local          
#>  stringi     1.2.4   2018-07-20 CRAN (R 3.5.0) 
#>  stringr     1.3.1   2018-05-10 CRAN (R 3.5.0) 
#>  tools       3.5.1   2018-07-05 local          
#>  utils     * 3.5.1   2018-07-05 local          
#>  withr       2.1.2   2018-03-15 CRAN (R 3.5.0) 
#>  yaml        2.2.0   2018-07-25 CRAN (R 3.5.0)

Here is test code result.

library(tidyverse)
library(data.table)
#> 
#> 载入程辑包：'data.table'
#> The following objects are masked from 'package:dplyr':
#> 
#>     between, first, last
#> The following object is masked from 'package:purrr':
#> 
#>     transpose
library(lubridate)
#> 
#> 载入程辑包：'lubridate'
#> The following objects are masked from 'package:data.table':
#> 
#>     hour, isoweek, mday, minute, month, quarter, second, wday,
#>     week, yday, year
#> The following object is masked from 'package:base':
#> 
#>     date
set.seed(123)
data.table(
  date = today() + 1:1000
  ,value = rnorm(1000,0,10)
  # sim stock price
) %>% 
  mutate(
    date = floor_date(date, unit = 'halfyear')
    # I suggest you maintain the date in yyyy-mm-dd type
  ) %>% 
  group_by(date) %>% 
  summarise(value = mean(value)) %>% 
  ggplot(aes(date,value)) +
  geom_line() + 
  scale_x_date(breaks = '6 month')

^{Created on 2018-11-05 by the reprex package (v0.2.1)}

I find it works without any bug. I compare the code you send me and my original code.
The only difference is the tab.

The code you send me is tab with 2
But my original code is tab with 4

Maybe is this the cause.

Win

"hello!"
#> [1] "hello!"

^{Created on 2018-11-05 by the reprex package (v0.2.1)}

Session info

devtools::session_info()
#> Session info -------------------------------------------------------------
#>  setting  value                                              
#>  version  R version 3.4.4 (2018-03-15)                       
#>  system   x86_64, mingw32                                    
#>  ui       RTerm                                              
#>  language (EN)                                               
#>  collate  Chinese (Simplified)_People's Republic of China.936
#>  tz       Asia/Taipei                                        
#>  date     2018-11-05
#> Packages -----------------------------------------------------------------
#>  package   * version date       source        
#>  backports   1.1.2   2017-12-13 CRAN (R 3.4.3)
#>  base      * 3.4.4   2018-03-15 local         
#>  compiler    3.4.4   2018-03-15 local         
#>  datasets  * 3.4.4   2018-03-15 local         
#>  devtools    1.13.5  2018-02-18 CRAN (R 3.4.3)
#>  digest      0.6.18  2018-10-10 CRAN (R 3.4.4)
#>  evaluate    0.10.1  2017-06-24 CRAN (R 3.4.3)
#>  graphics  * 3.4.4   2018-03-15 local         
#>  grDevices * 3.4.4   2018-03-15 local         
#>  htmltools   0.3.6   2017-04-28 CRAN (R 3.4.3)
#>  knitr       1.20    2018-02-20 CRAN (R 3.4.3)
#>  magrittr    1.5     2014-11-22 CRAN (R 3.4.3)
#>  memoise     1.1.0   2017-04-21 CRAN (R 3.4.4)
#>  methods   * 3.4.4   2018-03-15 local         
#>  Rcpp        0.12.18 2018-07-23 CRAN (R 3.4.4)
#>  rmarkdown   1.10    2018-06-11 CRAN (R 3.4.4)
#>  rprojroot   1.3-2   2018-01-03 CRAN (R 3.4.3)
#>  stats     * 3.4.4   2018-03-15 local         
#>  stringi     1.1.7   2018-03-12 CRAN (R 3.4.4)
#>  stringr     1.3.1   2018-05-10 CRAN (R 3.4.4)
#>  tools       3.4.4   2018-03-15 local         
#>  utils     * 3.4.4   2018-03-15 local         
#>  withr       2.1.2   2018-03-15 CRAN (R 3.4.4)
#>  yaml        2.2.0   2018-07-25 CRAN (R 3.4.4)

Here is test code result.

library(tidyverse)
library(data.table)
#> 
#> 载入程辑包：'data.table'
#> The following objects are masked from 'package:dplyr':
#> 
#>     between, first, last
#> The following object is masked from 'package:purrr':
#> 
#>     transpose
library(lubridate)
#> 
#> 载入程辑包：'lubridate'
#> The following objects are masked from 'package:data.table':
#> 
#>     hour, isoweek, mday, minute, month, quarter, second, wday,
#>     week, yday, year
#> The following object is masked from 'package:base':
#> 
#>     date
set.seed(123)
data.table(
  date = today() + 1:1000
  ,value = rnorm(1000,0,10)
  # sim stock price
) %>% 
  mutate(
    date = floor_date(date, unit = 'halfyear')
    # I suggest you maintain the date in yyyy-mm-dd type
  ) %>% 
  group_by(date) %>% 
  summarise(value = mean(value)) %>% 
  ggplot(aes(date,value)) +
  geom_line() + 
  scale_x_date(breaks = '6 month')

^{Created on 2018-11-05 by the reprex package (v0.2.1)}

I find it works without any bug on Win too.

jennybc · 2018-11-05T03:59:26Z

OK we are getting some where!

I find it works without any bug. I compare the code you send me and my original code.
The only difference is the tab.

Well, no, I also added code to suppress the upload of your figure to imgur, which, under the hood, uses the xml2 package. I think it's barfing on some encoding problem.

What version of xml2 do you have? devtools::package_info("xml2") will reveal this.

JiaxiangBU · 2018-11-05T07:50:13Z

devtools:::package_info("xml2")
#>  package * version date       source        
#>  xml2      1.2.0   2018-01-24 CRAN (R 3.4.3)

^{Created on 2018-11-05 by the reprex package (v0.2.1)}

jennybc · 2018-11-05T15:59:20Z

Thanks for sticking with this. I have two lines of inquiry now.

Does your original example work if you direct reprex to save things in current working directory, instead of below session temp dir?

Copy your original code snippet to the clipboard (NOT the modified one I gave you that alters the figure upload function).

Do reprex(outfile = NA). What happens?

I'd like you write a figure to file and then upload it to imgur using the exact code that knitr / reprex use to do this. Maybe we'll see a more exact cause-effect re: your error. This code should do it. Don't run this with reprex, just execute it line by line in RStudio.

library(ggplot2)
file <- "iris.png"
key <- "9f3460e67f308f6"

p <- ggplot(iris, aes(Sepal.Length, Sepal.Width)) + geom_point()
ggsave(file, p)

resp <- httr::POST(
  "https://api.imgur.com/3/image.xml",
  config = httr::add_headers(Authorization = paste("Client-ID", key)),
  body = list(image = httr::upload_file(file))
)
res <- httr::content(resp, as = "raw")
res <- if (length(res)) xml2::as_list(xml2::read_xml(res))
if (packageVersion('xml2') >= '1.2.0') res <- res[[1L]]
if (is.null(res$link[[1]])) stop('failed to upload ', file)
res$link[[1]]

JiaxiangBU · 2018-11-06T05:36:22Z

Do reprex(outfile = NA). What happens?

The result shows in the following pictures.

Ane the code in the second parts runs and faces errors I comments in the code chunk by #.

library(ggplot2)
file <- "iris.png"
key <- "9f3460e67f308f6"
p <- ggplot(iris, aes(Sepal.Length, Sepal.Width)) + geom_point()
ggsave(file, p)

resp <- httr::POST(
  "https://api.imgur.com/3/image.xml",
  config = httr::add_headers(Authorization = paste("Client-ID", key)),
  body = list(image = httr::upload_file(file))
)
res <- httr::content(resp, as = "raw")
res <- if (length(res)) xml2::as_list(xml2::read_xml(res))
# Error in doc_parse_raw(x, encoding = encoding, base_url = base_url, as_html = as_html, : Start tag expected, '<' not found [4]
if (packageVersion('xml2') >= '1.2.0') res <- res[[1L]]
if (is.null(res$link[[1]])) stop('failed to upload ', file)
# Error in res$link : $ operator is invalid for atomic vectors
res$link[[1]]
# Error in res$link : $ operator is invalid for atomic vectors

jennybc · 2018-11-06T15:55:17Z

What happens if you run that last example again, but specify the encoding here:

res <- if (length(res)) xml2::as_list(xml2::read_xml(res), encoding = "UTF-8")

JiaxiangBU · 2018-11-06T16:18:36Z

library(ggplot2)
file <- "iris.png"
key <- "9f3460e67f308f6"
p <- ggplot(iris, aes(Sepal.Length, Sepal.Width)) + geom_point()
ggsave(file, p)
#> Saving 7 x 5 in image

resp <- httr::POST(
  "https://api.imgur.com/3/image.xml",
  config = httr::add_headers(Authorization = paste("Client-ID", key)),
  body = list(image = httr::upload_file(file))
)
res <- httr::content(resp, as = "raw")
res <- if (length(res)) xml2::as_list(xml2::read_xml(res), encoding = "UTF-8")
#> Error in doc_parse_raw(x, encoding = encoding, base_url = base_url, as_html = as_html, : Start tag expected, '<' not found [4]
if (packageVersion('xml2') >= '1.2.0') res <- res[[1L]]
if (is.null(res$link[[1]])) stop('failed to upload ', file)
#> Error in res$link: $ operator is invalid for atomic vectors
res$link[[1]]
#> Error in res$link: $ operator is invalid for atomic vectors

^{Created on 2018-11-07 by the reprex package (v0.2.1)}

Session info

devtools::session_info()
#> Session info -------------------------------------------------------------
#>  setting  value                       
#>  version  R version 3.5.1 (2018-07-02)
#>  system   x86_64, darwin15.6.0        
#>  ui       X11                         
#>  language (EN)                        
#>  collate  zh_CN.UTF-8                 
#>  tz       Asia/Shanghai               
#>  date     2018-11-07
#> Packages -----------------------------------------------------------------
#>  package    * version date       source         
#>  assertthat   0.2.0   2017-04-11 CRAN (R 3.5.0) 
#>  backports    1.1.2   2017-12-13 CRAN (R 3.5.0) 
#>  base       * 3.5.1   2018-07-05 local          
#>  bindr        0.1.1   2018-03-13 CRAN (R 3.5.0) 
#>  bindrcpp     0.2.2   2018-03-29 CRAN (R 3.5.0) 
#>  colorspace   1.3-2   2016-12-14 CRAN (R 3.5.0) 
#>  compiler     3.5.1   2018-07-05 local          
#>  crayon       1.3.4   2017-09-16 CRAN (R 3.5.0) 
#>  curl         3.2     2018-03-28 CRAN (R 3.5.0) 
#>  datasets   * 3.5.1   2018-07-05 local          
#>  devtools     1.13.6  2018-06-27 CRAN (R 3.5.0) 
#>  digest       0.6.16  2018-08-22 cran (@0.6.16) 
#>  dplyr        0.7.6   2018-06-29 CRAN (R 3.5.1) 
#>  evaluate     0.11    2018-07-17 CRAN (R 3.5.0) 
#>  ggplot2    * 3.0.0   2018-07-03 CRAN (R 3.5.0) 
#>  glue         1.3.0   2018-07-17 CRAN (R 3.5.0) 
#>  graphics   * 3.5.1   2018-07-05 local          
#>  grDevices  * 3.5.1   2018-07-05 local          
#>  grid         3.5.1   2018-07-05 local          
#>  gtable       0.2.0   2016-02-26 CRAN (R 3.5.0) 
#>  htmltools    0.3.6   2017-04-28 CRAN (R 3.5.0) 
#>  httr         1.3.1   2017-08-20 CRAN (R 3.5.0) 
#>  knitr        1.20    2018-02-20 CRAN (R 3.5.0) 
#>  labeling     0.3     2014-08-23 CRAN (R 3.5.0) 
#>  lazyeval     0.2.1   2017-10-29 CRAN (R 3.5.0) 
#>  magrittr     1.5     2014-11-22 CRAN (R 3.5.0) 
#>  memoise      1.1.0   2017-04-21 CRAN (R 3.5.0) 
#>  methods    * 3.5.1   2018-07-05 local          
#>  mime         0.5     2016-07-07 CRAN (R 3.5.0) 
#>  munsell      0.5.0   2018-06-12 CRAN (R 3.5.0) 
#>  pillar       1.3.0   2018-07-14 CRAN (R 3.5.0) 
#>  pkgconfig    2.0.1   2017-03-21 CRAN (R 3.5.0) 
#>  plyr         1.8.4   2016-06-08 CRAN (R 3.5.0) 
#>  purrr        0.2.5   2018-05-29 CRAN (R 3.5.0) 
#>  R6           2.3.0   2018-10-04 cran (@2.3.0)  
#>  Rcpp         0.12.19 2018-10-01 cran (@0.12.19)
#>  rlang        0.2.2   2018-08-16 cran (@0.2.2)  
#>  rmarkdown    1.10    2018-06-11 CRAN (R 3.5.0) 
#>  rprojroot    1.3-2   2018-01-03 CRAN (R 3.5.0) 
#>  scales       1.0.0   2018-08-09 CRAN (R 3.5.0) 
#>  stats      * 3.5.1   2018-07-05 local          
#>  stringi      1.2.4   2018-07-20 CRAN (R 3.5.0) 
#>  stringr      1.3.1   2018-05-10 CRAN (R 3.5.0) 
#>  tibble       1.4.2   2018-01-22 CRAN (R 3.5.0) 
#>  tidyselect   0.2.5   2018-10-11 cran (@0.2.5)  
#>  tools        3.5.1   2018-07-05 local          
#>  utils      * 3.5.1   2018-07-05 local          
#>  withr        2.1.2   2018-03-15 CRAN (R 3.5.0) 
#>  xml2         1.2.0   2018-01-24 CRAN (R 3.5.0) 
#>  yaml         2.2.0   2018-07-25 CRAN (R 3.5.0)

jennybc · 2018-11-06T16:56:25Z

Bummer.

We have narrowed this down to a problem in knitr or xml2, though. It's not a problem in reprex itself.

I suggest that you open an issue on knitr, demonstrating your problem with imgur_upload(). @yihui is probably more up-to-speed on the specific encoding challenges you face, so hopefully he can sort this out.

This code snippet from the help for knitr::imgur_upload() should NOT work for you and will allow you to show your problem:

f = tempfile(fileext = ".png")
png(f)
plot(rnorm(100), main = R.version.string)
dev.off()

res = imgur_upload(f)

yihui · 2018-11-06T17:18:51Z

@JiaxiangBU Not sure if you are aware of it, but imgur.com has been blocked in China for years, so you cannot really use this function without tools to deal with GFW.

jennybc · 2018-11-06T17:33:52Z

@yihui Should knitr check for, e.g. a response status of 200, before trying to parse the response from imgur? A better error message here would have saved a lot of time.

yihui · 2018-11-06T19:46:25Z

Yes, it definitely should. A PR would be welcome! :)

jennybc · 2018-11-07T01:19:23Z

Is there any alternative to imgur.com that works despite the GFW? This appears to be a very handy feature of knitr and, by extension, reprex.

yihui · 2018-11-08T14:55:48Z

I'm not aware of other image hosts as convenient as imgur. The problem is when some services are too convenient and provide too much freedom, they are likely to be GFW'ed because people will upload and share "sensitive" stuff there. Github may be the only exception these years and it is surprising that it has survived for so long. We could actually upload images to Github (gist?) and I feel it sounds like abusing Github.

jennybc · 2018-11-08T16:37:34Z

I was thinking of making reprex's upload.fun configurable via an option. If that were true, there could be well-known workarounds for special situations, but the imgur default could remain in place.

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jennybc closed this as completed Nov 6, 2018

jennybc mentioned this issue Nov 7, 2018

Fail better if imgur upload doesn't work yihui/knitr#1631

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jennybc mentioned this issue Nov 8, 2018

Make upload.fun configurable via option #214

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batpigandme mentioned this issue Oct 23, 2019

the default value of ScaleBinned$n.breaks should be 4, not 5. tidyverse/ggplot2#3580

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Error in doc_parse_raw when running `reprex` #220

Error in doc_parse_raw when running `reprex` #220

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Error in doc_parse_raw when running reprex #220

Error in doc_parse_raw when running reprex #220

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Error in doc_parse_raw when running `reprex` #220

Error in doc_parse_raw when running `reprex` #220

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