Question

我有在R Markdown中运行良好的代码。它本身也可以在R中正常运行。然后，我安装了knitr以便能够访问外部代码块，现在出现以下错误。我已经运行update.packages()，一切都保持最新状态。

Error in .Call(C_stri_flatten, str, collapse, na_empty, omit_empty) : 
  Incorrect number of arguments (4), expecting 2 for 'C_stri_flatten'
  Calls: <Anonymous> ... stri_wrap -> sapply -> lapply -> FUN -> stri_flatten -> 
  .Call

我使用的结构具有来自外部文件的降价调用代码。在R Markdown代码的早期，通过以下代码将其设置到文件中：

```{r load file, echo=FALSE}
read_chunk('30to90Day.R')

```

我从External R Code Blog

的此链接获得了这种语法

抛出错误时正在执行的代码如下：

```{r cleanCols, echo=F}
```

下面的cleanCols代码是在以上read_chunk('30to90Day.R')所引用的文件中，使用knitr语法。

## @knitr cleanCols

# rename and clean up
# change the column names
colnames(data) <- c('ClmNbr',
                    'FeatureNbr',
                    'SnapshotDay',
                    'IncSnapshotDay',
                    'FinalPaid',
                    'AttyRepresent',
                    'BILimitPerson',
                    'InjuryType',
                    'ClmtAgeAtLoss')

# change ClmNbr to character
data$ClmNbr <- as.character(data$ClmNbr)

# count of na
datatable(data %>% group_by(SnapshotDay) %>%
            summarise(count = sum(is.na(IncSnapshotDay))))


# clean up attyrepresent
data$AttyRepresent <- as.character(data$AttyRepresent)
data$AttyRepresent <- as.factor(
  ifelse(is.na(data$AttyRepresent), 'Unk', data$AttyRepresent))

# get only the data with values at 30 and 90
dataClean <- data %>% filter (!is.na(IncSnapshotDay))

以上所有代码在R Markdown之外均可正常运行。我的系统环境如下：

R version 3.4.3 (2017-11-30)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows Server >= 2012 x64 (build 9200)

Matrix products: default

locale:
[1] LC_COLLATE=English_United States.1252  LC_CTYPE=English_United States.1252   
[3] LC_MONETARY=English_United States.1252 LC_NUMERIC=C                          
[5] LC_TIME=English_United States.1252    

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

other attached packages:
 [1] bindrcpp_0.2.2             plotly_4.8.0               PerformanceAnalytics_1.5.2
 [4] xts_0.11-0                 zoo_1.8-3                  scales_0.5.0              
 [7] ggplot2_3.0.0              knitr_1.20                 reshape2_1.4.3            
[10] DT_0.4                     markovchain_0.6.9.11       dplyr_0.7.6               
[13] RODBC_1.3-15               RevoUtils_10.0.7           RevoUtilsMath_10.0.1      

loaded via a namespace (and not attached):
 [1] tidyselect_0.2.3   purrr_0.2.4        lattice_0.20-35    colorspace_1.3-2  
 [5] expm_0.999-2       viridisLite_0.3.0  htmltools_0.3.6    stats4_3.4.3      
 [9] yaml_2.1.16        rlang_0.2.1        later_0.7.3        pillar_1.3.0      
[13] glue_1.3.0         withr_2.1.2        bindr_0.1.1        plyr_1.8.4        
[17] stringr_1.3.1      munsell_0.5.0      gtable_0.2.0       htmlwidgets_1.2   
[21] evaluate_0.11      httpuv_1.4.5       crosstalk_1.0.0    parallel_3.4.3    
[25] Rcpp_0.12.18       xtable_1.8-2       matlab_1.0.2       promises_1.0.1    
[29] backports_1.1.2    jsonlite_1.5       RcppParallel_4.4.1 mime_0.5          
[33] digest_0.6.13      stringi_1.2.4      shiny_1.0.5        grid_3.4.3        
[37] rprojroot_1.3-2    quadprog_1.5-5     tools_3.4.3        magrittr_1.5      
[41] lazyeval_0.2.1     tibble_1.4.2       tidyr_0.7.2        crayon_1.3.4      
[45] pkgconfig_2.0.1    Matrix_1.2-14      data.table_1.11.4  assertthat_0.2.0  
[49] rmarkdown_1.10     httr_1.3.1         rstudioapi_0.7     R6_2.2.2          
[53] igraph_1.2.2       compiler_3.4.3

knitr和rmarkdown之间是否存在冲突？

R Markdown编织时出错，代码在R中工作正常

0 个答案: