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R脚本错误{:在数据框上需要TRUE / FALSE的地方缺少值

[英]R scripting Error { : missing value where TRUE/FALSE needed on Dataframe

I have a Data Frame which looks like this 我有一个看起来像这样的数据框

Name  Surname  Country  Path
John   Snow      UK     /Home/drive/John 
BOB    Anderson         /Home/drive/BOB
Tim    David     UK     /Home/drive/Tim 
Wayne  Green     UK     /Home/drive/Wayne

I have written a script which first checks if country =="UK" , if true, changes Path from "/Home/drive/" to "/Server/files/" using gsub in R. 我编写了一个脚本,该脚本首先检查country =="UK"是否为true,如果使用R中的gsub将Path从"/Home/drive/"更改为"/Server/files/"

Script 脚本

Pattern<-"/Home/drive/"

Replacement<- "/Server/files/"



 for (i in 1:nrow(gs_catalog_Staging_123))
{

  if( gs_catalog_Staging_123$country[i] == "UK" && !is.na(gs_catalog_Staging_123$country[i]))   
  {
   gs_catalog_Staging_123$Path<- gsub(Pattern , Replacement , gs_catalog_Staging_123$Path,ignore.case=T)
  }

}

The output i get : 我得到的输出:

    Name  Surname  Country  Path
John   Snow      UK     /Server/files/John 
*BOB    Anderson        /Server/files/BOB*
Tim    David     UK     /Server/files/Tim 
Wayne  Green     UK     /Server/files/Wayne

The output I want 我想要的输出

Name  Surname  Country  Path
    John   Snow      UK     /Server/files/John 
    BOB    Anderson         /Home/drive/BOB
    Tim    David     UK     /Server/files/Tim 
    Wayne  Green     UK     /Server/files/Wayne

As we can clearly see gsub fails to recognize missing values and appends that row as well. 正如我们可以清楚地看到的那样,gsub无法识别丢失的值,也无法追加该行。

Many R functions are vectorized, so we can avoid a loop here. 许多R函数是矢量化的,因此我们可以在这里避免循环。

# example data
df <- data.frame(
    name    = c("John", "Bob", "Tim", "Wayne"),
    surname = c("Snow", "Ander", "David", "Green"),
    country = c("UK", "", "UK", "UK"),
    path    = paste0("/Home/drive/", c("John", "Bob", "Tim", "Wayne")),
    stringsAsFactors = FALSE
)

# fix the path
df$newpath <- ifelse(df$country=="UK" & !is.na(df$country), 
                     gsub("/Home/drive/", "/Server/files/", df$path),
                     df$path)

# view result
df
   name surname country              path             newpath
1  John    Snow      UK  /Home/drive/John  /Server/files/John
2   Bob   Ander           /Home/drive/Bob     /Home/drive/Bob
3   Tim   David      UK   /Home/drive/Tim   /Server/files/Tim
4 Wayne   Green      UK /Home/drive/Wayne /Server/files/Wayne

In fact, this is the issue with your code. 实际上,这就是您的代码的问题。 Each time through your loop, you check row i but then you do a full replacement of the whole column. 每次循环时,您都检查第i行,但是然后完全替换整个列。 A fix would be to add [i] at appropriate places of your final line of code: 一种解决方法是在最终代码行的适当位置添加[i]

gs_catalog_Staging_123$Path[i] <- gsub(Pattern , Replacement , gs_catalog_Staging_123$Path[i] ,ignore.case=T)

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