preprocess_smi: Preprocess SMI eye tracking data file
In kemacdonald/kmetR: Process SMI Data Files
Description
Usage
Arguments
Value
Examples
Description
Preprocess SMI eye tracking data file
Usage
1
2
preprocess_smi(d, x_max = 1680, y_max = 1050, samp_rate = 120,
avg_eyes = TRUE)
Arguments
d
A data frame with eye tracking data.
x_max
A number indicating the max pixel dimension in the horizontal plane.
y_max
A number indicating the max pixel dimension in the vertical plane.
samp_rate
A number indicating the sampling rate of the eye tracker that generated the data.
avg_eyes
Logical indicating whether data from each eye should be averaged together.
Value
A processed data frame that is ready for analysis.
Examples
1
preprocess_smi(d = df, x_max = 1680, y_max = 1050, samp_rate = 120, avg_eyes = TRUE)
kemacdonald/kmetR documentation built on May 17, 2019, 12:14 p.m.
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Description Usage Arguments Value Examples
Description
Preprocess SMI eye tracking data file
Usage
1 2 | preprocess_smi(d, x_max = 1680, y_max = 1050, samp_rate = 120,
avg_eyes = TRUE)
|
Arguments
d |
A data frame with eye tracking data. |
x_max |
A number indicating the max pixel dimension in the horizontal plane. |
y_max |
A number indicating the max pixel dimension in the vertical plane. |
samp_rate |
A number indicating the sampling rate of the eye tracker that generated the data. |
avg_eyes |
Logical indicating whether data from each eye should be averaged together. |
Value
A processed data frame that is ready for analysis.
Examples
1 | preprocess_smi(d = df, x_max = 1680, y_max = 1050, samp_rate = 120, avg_eyes = TRUE)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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