plotItemVar: Plot IAT item variability
In IAT: Cleaning and Visualizing Implicit Association Test (IAT) Data

Plot mean item reaction time with 95% confidence intervals to see how reaction time varies by item. The data is automatically cleaned (i.e., no error trials, and trials with RT > 10000 or < 180 are deleted) to avoid over/underinflation of mean estimates and only includes trials from essential blocks.

1 2	plotItemVar(my_data, block_name, trial_blocks, item_name, trial_latency, trial_error)

`my_data`	The raw dataframe to be used
`block_name`	A string of the variable name for the blocks
`trial_blocks`	A vector of the four essential blocks in the seven-block IAT (i.e., B3, B4, B6, and B7).
`item_name`	A string of the variable identifying the items
`trial_latency`	A string of the variable name for the latency of each trial.
`trial_error`	A string of the variable name identifying whether a trial was an error or not (1 = error)