Error in duplicated.default(date) : duplicated() applies only to vectors



Hi there,

This code worked on Friday... I think my computer updated over the weekend, and now the code throws an error. Can't understand why, any help is much appreciated.

# recreate first 5 rows of the data (full df is ~142000 rows)
lis <- structure(list(datetime = structure(c(1372662000, 1372662900, 
1372663800, 1372664700, 1372665600), class = c("POSIXct", "POSIXt"
), tzone = ""), year = c(2013, 2013, 2013, 2013, 2013), month = structure(c(7L, 
7L, 7L, 7L, 7L), .Label = c("January", "February", "March", "April", 
"May", "June", "July", "August", "September", "October", "November", 
"December"), class = "factor"), value = c(-95, -132, -196, -234, 
-236)), row.names = c(NA, -5L), class = c("tbl_df", "tbl", "data.frame"

# compute daily mean flow and plot:
lis %>% 
  mutate(date = as.Date(datetime)) %>% # get rid of hms
  group_by(date) %>%  
  mutate(meanflow = mean(value)) %>% 
  ungroup() %>% 
  filter(!duplicated(date)) %>% # this is where the error happens
  ggplot() +
  geom_line(aes(x = date, y = meanflow))

The error I get is: Error in duplicated.default(date) : duplicated() applies only to vectors

Wrapping date in as.vector() does not help; lubridate's ymd function fills the date column with NAs (although that's probably just a formatting issue I could troubleshoot).

I realize that naming something date is a bad idea... but I've tried with different names and get the same error.

Session info:

R version 3.5.1 (2018-07-02)
Platform: x86_64-apple-darwin15.6.0 (64-bit)
Running under: macOS High Sierra 10.13.6

Matrix products: default
BLAS: /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib
LAPACK: /Library/Frameworks/R.framework/Versions/3.5/Resources/lib/libRlapack.dylib

[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
 [1] bindrcpp_0.2.2   lubridate_1.7.4  DWR_0.0.0.9000   ybp_0.1.0        fishtrackr_0.1.0 forcats_0.3.0    stringr_1.3.1    dplyr_0.7.6     
 [9] purrr_0.2.5      readr_1.1.1      tidyr_0.8.1      tibble_1.4.2     ggplot2_3.0.0    tidyverse_1.2.1 

loaded via a namespace (and not attached):
 [1] Rcpp_0.12.18     compiler_3.5.1   cellranger_1.1.0 pillar_1.3.0     plyr_1.8.4       bindr_0.1.1      tools_3.5.1      jsonlite_1.5    
 [9] gtable_0.2.0     nlme_3.1-137     lattice_0.20-35  pkgconfig_2.0.1  rlang_0.2.1      cli_1.0.0        rstudioapi_0.7   yaml_2.2.0      
[17] haven_1.1.2      withr_2.1.2      xml2_1.2.0       httr_1.3.1       hms_0.4.2        grid_3.5.1       tidyselect_0.2.4 glue_1.3.0      
[25] R6_2.2.2         readxl_1.1.0     modelr_0.1.2     magrittr_1.5     backports_1.1.2  scales_0.5.0     rvest_0.3.2      assertthat_0.2.0
[33] colorspace_1.3-2 stringi_1.2.4    lazyeval_0.2.1   munsell_0.5.0    broom_0.5.0      crayon_1.3.4 

Any ideas?


Okay, so the error was happening because my computer was calling filter from the stats package, not from dplyr. I have the tidyverse set to load in my .Rprofile in the project directory; once I removed that and added in a library call or used dplyr:: , it was fine.