Question

获取“is.data.frame（df）不是真的”错误“创建滞后...”行后，无法弄清楚原因。任何帮助，将不胜感激！ ```{r，echo = TRUE}

df1 <- read.dta("~/Downloads/doesoil clean.dta")
df1 <- as.data.frame(df1)

str(df1)


```

```{r, echo=TRUE}

## Create lagged outcome variable for policy
df1 <- arrange(data, cty_name, year)
df1 <- group_by(data, cty_name) %>%
    mutate(
           oil_L1 = lag(oil, 1),
              regime1_L1 = lag(regime1, 1)   ,     
               islam_L1 = lag(islam, 1)    ,    
              metal_L1 = lag(metal, 1)   , 
                log135_L1 = lag(log135, 1)   , 

            )

df1$log_oil_L1<-log(df1$oil_L1+.001)

df1<-dplyr::select(df1,
        cty_name, 
        year,
        regime1,#  regime type , 1=Democracy
        regime1_L1, ## Lagged regime type
        oil_L1,## oil exports as percentage of GDP (lagged)
        log_oil_L1,## Logged oil exports (lagged)
        islam_L1,## percent islam (lagged)
        metal_L1,##  mineral exports as percentage of GDP (lagged)
        mideast,##  dummy if country is in the middle east
        log135,## Logged per capita income
        log135_L1) ## Logged per capita income (lagged)

df1$year<-as.numeric(df1$year)
```

尝试使用标注规范对数据进行子集化，教授将其作为起点提供，但我遇到了调试问题。

Answer 1

您正在引用您与我们共享的代码中未定义的变量，＆＃34;数据＆＃34;。正如r2evans在评论中所提到的那样，使用您已分配给名称df1的data.frame可以解决您的问题。

dplyr和“is.data.frame（df）不是真的”错误

1 个答案: