doc/analysis-plan.md
In UofTCoders/eeb430.2017.Python: Team Python Final Report for EEB430 at UofT
Possible Analyses
We can choose two variables such as weaning age and adult mass and see if we can fit a linear model to it or see if there is a correlation.
We are interested in seeing linear relationships which may require us to transformation the data.
Possible results tables
Our tables will describe the GLM we use. The tables will include the term, estimates, confidence intervals, and p-value.
Possible results figures
A line graph may be most appropriate to show this data and use facets or different colours to show the differences/similarities between orders and families.
UofTCoders/eeb430.2017.Python documentation built on May 28, 2019, 3:19 p.m.
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Possible Analyses
We can choose two variables such as weaning age and adult mass and see if we can fit a linear model to it or see if there is a correlation. We are interested in seeing linear relationships which may require us to transformation the data.
Possible results tables
Our tables will describe the GLM we use. The tables will include the term, estimates, confidence intervals, and p-value.
Possible results figures
A line graph may be most appropriate to show this data and use facets or different colours to show the differences/similarities between orders and families.
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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