T-test results confusion

[AlexanderCarlino]

I'm running a t-test to compare priming-condition (professor vs hooligan) with results on a trivia test.
Firstly; Is the bellow error " 'data' argument is of the wrong type " influencing the results?
Secondly; Why for this t-test, unlike my others, i'm not receving a primilary "estimate" value and why is the parameter 6404? (i have 6406 participants, but the parameter values for my t-tests of different datasets seem random.

library("tidyverse")
t.test(correct_raw ~ prime_code, data = select, var.equal = TRUE, alternative = "two.sided") %>% tidy()
#> Error in terms.formula(formula, data = data): 'data' argument is of the wrong type

^{Created on 2019-07-21 by the reprex package (v0.3.0)}

[andresrcs]

Hi Alexander, welcome!

To help us help you, could you please prepare a reproducible example (reprex) illustrating your issue? Please have a look at this guide, to see how to create one:

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…