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This data frame should contain (at a minimum) columns that specify your participant numbers, your experimental conditions, your response time data, and your accuracy data.
In previous versions of your data had to contain columns with the same names used below.
These different return-types are now implemented for all methods.
only accepts data in wide format, but it is on my to-do list to allow long format entry.
The value of standard deviation used is set by the SD argument.
How this is used varies depending on the values the user passes to two important additional function arguments: Note that if both are set to TRUE, the trimming will occur per participant per condition (e.g., if SD is set to 2.5, the function will trim RTs 2.5 SDs above the mean RT of each participant for each condition).
The function that performs this trimming method in In this function, the user declares lower- and upper-criterion for RT trimming (min RT and max RT arguments, respectively); RTs outside of these criteria are removed.
Note that these criteria must be in the same unit as the RTs are logged in within the data frame being used.
Here is how to use the function: The modified Recursive function is more involved than the non Recursive function. It first temporarily removes the slowest RT from the distribution; then, the mean of the sample is calculated, and the cut-off value is calculated using a certain number of SDs around the mean, with the value for SD being determined by the current sample size.The function looks in a data file contained in ## sample Size modified Recursive non Recursive ## 1 4 8.000 1.4580 ## 2 5 6.200 1.6800 ## 3 6 5.300 1.8410 ## 4 7 4.800 1.9610 ## 5 8 4.475 2.0500 ## 6 9 4.250 2.1200 ## 7 10 4.110 2.1700 ## 8 11 4.000 2.2200 ## 9 12 3.920 2.2460 ## 10 13 3.850 2.2740 ## 11 14 3.800 2.3100 ## 12 15 3.750 2.3260 ## 13 16 3.728 2.3390 ## 14 17 3.706 2.3520 ## 15 18 3.684 2.3650 ## 16 19 3.662 2.3780 ## 17 20 3.640 2.3910 ## 18 21 3.631 2.3948 ## 19 22 3.622 2.3986 ## 20 23 3.613 2.4024 Notice there are two columns.This current function will only look in the non Recursive column; the other column is used by the modified Recursive function, discussed below.In this example, let’s trim RTs faster than 150 milliseconds, and greater than 3 SDs above the mean of each participant, and return the mean RTs: Three functions in this family implement the trimming methods proposed & discussed by van Selst & Jolicoeur (1994): non Recursive, modified Recursive, and hybrid Recursive.van Selst & Jolicoeur noted that the outcome of many trimming methods is influenced by the sample size (i.e., the number of trials) being considered, thus potentially producing bias.
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