r - 为什么切片函数在没有显式使用dplyr的情况下不起作用

Question

我正在学习使用dplyr并遇到了功能片。我试着在没有显式dplyr的情况下调用它。

它与显式调用一起使用，但是在没有dplyr的情况下调用会产生错误。有人可以指导我该错误的根源是什么？

据我所知，slice函数是dplyr专有的，还是它也属于其他软件包？

> library("tidyverse") 
> sessionInfo()

R version 3.5.1 (2018-07-02)
Platform: x86_64-apple-darwin15.6.0 (64-bit)
Running under: macOS  10.14.1

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

locale:
[1] en_GB.UTF-8/en_GB.UTF-8/en_GB.UTF-8/C/en_GB.UTF-8/en_GB.UTF-8

attached base packages:
[1] stats4    parallel  stats     graphics  grDevices utils     datasets  methods   base     

other attached packages:
 [1] faraway_1.0.7       pd.hg.u95av2_3.12.0 DBI_1.0.0           oligo_1.46.0        oligoClasses_1.44.0
 [6] RSQLite_2.1.1       Biostrings_2.50.2   XVector_0.22.0      IRanges_2.16.0      S4Vectors_0.20.1   
[11] ArrayExpress_1.42.0 Biobase_2.42.0      BiocGenerics_0.28.0 bindrcpp_0.2.2      forcats_0.3.0      
[16] stringr_1.3.1       dplyr_0.7.8         purrr_0.2.5         tidyr_0.8.2         tibble_2.0.0       
[21] ggplot2_3.1.0       tidyverse_1.2.1     readr_1.3.1        

loaded via a namespace (and not attached):
 [1] nlme_3.1-137                bitops_1.0-6                matrixStats_0.54.0         
 [4] lubridate_1.7.4             bit64_0.9-7                 httr_1.4.0                 
 [7] GenomeInfoDb_1.18.1         tools_3.5.1                 backports_1.1.3            
[10] utf8_1.1.4                  R6_2.3.0                    affyio_1.52.0              
[13] lazyeval_0.2.1              colorspace_1.3-2            withr_2.1.2                
[16] tidyselect_0.2.5            bit_1.1-14                  curl_3.3                   
[19] compiler_3.5.1              preprocessCore_1.44.0       cli_1.0.1                  
[22] rvest_0.3.2                 xml2_1.2.0                  DelayedArray_0.8.0         
[25] labeling_0.3                scales_1.0.0                digest_0.6.18              
[28] minqa_1.2.4                 pkgconfig_2.0.2             lme4_1.1-19                
[31] limma_3.38.3                rlang_0.3.1                 readxl_1.2.0               
[34] rstudioapi_0.9.0            bindr_0.1.1                 generics_0.0.2             
[37] jsonlite_1.6                BiocParallel_1.16.5         RCurl_1.95-4.11            
[40] magrittr_1.5                GenomeInfoDbData_1.2.0      Matrix_1.2-15              
[43] Rcpp_1.0.0                  munsell_0.5.0               fansi_0.4.0                
[46] stringi_1.2.4               yaml_2.2.0                  MASS_7.3-51.1              
[49] SummarizedExperiment_1.12.0 zlibbioc_1.28.0             plyr_1.8.4                 
[52] grid_3.5.1                  affxparser_1.54.0           blob_1.1.1                 
[55] crayon_1.3.4                lattice_0.20-38             haven_2.0.0                
[58] splines_3.5.1               hms_0.4.2                   pillar_1.3.1               
[61] GenomicRanges_1.34.0        codetools_0.2-16            XML_3.98-1.16              
[64] glue_1.3.0                  BiocManager_1.30.4          modelr_0.1.2               
[67] nloptr_1.2.1                foreach_1.4.4               cellranger_1.1.0           
[70] gtable_0.2.0                assertthat_0.2.0            broom_0.5.1                
[73] ff_2.2-14                   iterators_1.0.10            memoise_1.1.0 

> worldcup %>% dplyr::slice(1:3)


Team   Position Time Shots Passes Tackles Saves player_name

1 Algeria Midfielder   16     0      6       0     0      Abdoun

2   Japan Midfielder  351     0    101      14     0         Abe

3  France   Defender  180     0     91       6     0      Abidal

> worldcup %>% slice(1:3)

Error in .Call2("Rle_constructor", values, lengths, PACKAGE = "S4Vectors") :

  Rle of type 'list' is not supported

Answer 1

worldcup %>% slice(1:3)从slice包而不是dplyr调用S4Vectors。

尝试做：

detach("package:S4Vectors")

然后运行：

worldcup %>% slice(1:3)