standardise: Standardise a Dataset
In jmjablons/icager: Custom Preprocess Raw IntelliCage-Based Data
Description
Usage
Arguments
Value
Examples
Description
standardise() selects a dataset variables and
changes their type to provide a minimal size comprehensible
dataset
Usage
1
standardise(A)
Arguments
A
data frame
Value
data frame with variables:
- deviceid:chr
- start:dttm
- end:dttm
- corner:chr
- condition:chr
- tag:chr
- temperature:dbl
- illluminaton:int
- nlick:dbl
- durationlick:dbl
- nnosepoke:int
- dooropened:chr
Examples
1
mydata <- standardise(dx)
jmjablons/icager documentation built on Aug. 19, 2020, 8:10 p.m.
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Description Usage Arguments Value Examples
Description
standardise() selects a dataset variables and
changes their type to provide a minimal size comprehensible
dataset
Usage
1 | standardise(A)
|
Arguments
A |
data frame |
Value
data frame with variables:
- deviceid:chr
- start:dttm
- end:dttm
- corner:chr
- condition:chr
- tag:chr
- temperature:dbl
- illluminaton:int
- nlick:dbl
- durationlick:dbl
- nnosepoke:int
- dooropened:chr
Examples
1 | mydata <- standardise(dx)
|
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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