calcANOVA: Calculate statistics for a dataset
In jstaf/actmon: A tool for parsing output produced by TriKinetics' Drosophila Activity Monitor.
Description
Usage
Arguments
Value
Examples
Description
A 1-way ANOVA is performed across an attribute on data with a single
timepoint. A 2-way ANOVA is performed across an attribute on data with
multiple timepoints (this will take quite awhile if done on data with
an extreme number of timepoints). Note that a 1-way ANOVA is statistically
identical to a two-sample t-test when there are only two sample groups.
Usage
1
Arguments
obj
A valid DAM object (created by newExperiment
attribute
Which attribute stats should be calculated against.
Value
Returns
Examples
1
2
3
activity <- toInterval(DAM_DD, 12, units = "hours", aggregateBy = "sum")
activity <- toAvgDay(activity)
statsAct <- calcStats(activity, "genotype")
jstaf/actmon documentation built on May 20, 2019, 2:11 a.m.
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Description Usage Arguments Value Examples
Description
A 1-way ANOVA is performed across an attribute on data with a single timepoint. A 2-way ANOVA is performed across an attribute on data with multiple timepoints (this will take quite awhile if done on data with an extreme number of timepoints). Note that a 1-way ANOVA is statistically identical to a two-sample t-test when there are only two sample groups.
Usage
1 |
Arguments
obj |
A valid DAM object (created by |
attribute |
Which attribute stats should be calculated against. |
Value
Returns
Examples
1 2 3 | activity <- toInterval(DAM_DD, 12, units = "hours", aggregateBy = "sum")
activity <- toAvgDay(activity)
statsAct <- calcStats(activity, "genotype")
|
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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