non_eligible_step1_f: Identify participant-level exclusions based on participant...
In burchill/pupilr: Manage and Analyze The Pupillometry Project
Description
Usage
Arguments
Value
Description
Corresponds to Step 1.1:
identify subjects who do not meet participation criteria:
- (i)
not monolingual English speakers
- (ii)
did not use appropriate audio equipment for the study
- (iii)
reported high familiarity with accent
Usage
1
non_eligible_step1_f(d, duplicate_turkers, newsurvey = TRUE)
Arguments
d
a data frame (pre-processed by pupilr)
duplicate_turkers
a data frame of duplicate participants
newsurvey
a boolean that is TRUE when the data frame has the updated survey questions
Value
a data frame of workers who need to be excluded
burchill/pupilr documentation built on May 22, 2019, 2:27 p.m.
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Description Usage Arguments Value
Description
Corresponds to Step 1.1:
identify subjects who do not meet participation criteria:
- (i)
not monolingual English speakers
- (ii)
did not use appropriate audio equipment for the study
- (iii)
reported high familiarity with accent
Usage
1 | non_eligible_step1_f(d, duplicate_turkers, newsurvey = TRUE)
|
Arguments
d |
a data frame (pre-processed by |
duplicate_turkers |
a data frame of duplicate participants |
newsurvey |
a boolean that is |
Value
a data frame of workers who need to be excluded
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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