What do I do to correct Error in `filter()` and then 'object not found'?-CodePudding

I'm trying to create a new data frame out of only specific rows from my existing data frame. First, I imported the dataset, and then I did this

read.csv("testvdemset.csv")

The code I'm using to create the new data frame is

data <- testvdemset %>%

filter(country_name =='Argentina','Bolivia','Ecuador','Guatemala','Haiti','Honduras','Panama','Paraguay','Peru','Venezuela')

However, it returns this message

Error in `filter()`:

! Problem while computing ..2 = "Bolivia". x Input ..2 must be a logical vector, not a character. Run rlang::last_error() to see where the error occurred.

Without changing anything, I'll run it again and get this

Error in filter(country_name == "Argentina", "Bolivia", "Ecuador", "Guatemala",  :

object 'country_name' not found

And that also happens when I do make changes. When I use exists() for country_name, it says that it does not exist, nor do any of the other variables (columns) in my existing data frame. I made sure that my working directory was correct and that there are no spelling/capitalization errors. What am I doing wrong and how can I fix this? Thank you!!

CodePudding user response：

Try this

data <- testvdemset %>% 
  filter(country_name %in% c('Argentina','Bolivia','Ecuador','Guatemala','Haiti','Honduras',
                         'Panama','Paraguay','Peru','Venezuela'))