Error in eval(substitute(x), data, parent.frame()) : argument "data" is missing, with no default

When I run the code below (given by the professor), I got the error

eval(substitute(x), data, parent.frame()) : argument "data" is missing, with no default

Also, I see some use the est="" and some use the statistics="": which one is the right one to use?

I try to include library (dplyr) and library(statsr) but that did not solve the problem.

back = as.factor(c(rep("correct", 11), rep("wrong", 1)))
inference(back, est = "proportion", type = "ht", method = "simulation",
success = "correct", null = 0.1, alternative = "greater", seed = 654, nsim = 100)

Solution

With a few adjustments (discussed in comments) this seems to work:

you need to have the focal variable (back) as a variable in a data frame, and specify that data frame via the data argument
what you have as the est argument should be called statistic instead

back <- as.factor(c(rep("correct", 11), rep("wrong", 1)))
dd <- data.frame(back)  ## embed the variable in a data frame
inference(back, 
          data = dd,                 ## include data argument
          statistic = "proportion",  ## est -> statistic
          type = "ht", method = "simulation",
          success = "correct", null = 0.1, 
          alternative = "greater", seed = 654, nsim = 100)

If you read the help page for ?inference carefully, you'll see that these answers (especially "should I use est or statistic?") are embedded there ...