MM_CIs: MM_CIs
In mikeod38/dauergut: Scripts for rict-1 dauer paper
Description
Usage
Arguments
Examples
Description
generate Tukey-adjusted 95 pct confidence intervals for plotting on the
untransformed response scale for linear models
using lsmeans package
Usage
1
MM_CIs(y, predictor)
Arguments
y
input if model fit ie lm, glm, glmer etc...
predictor
optional predictor variable for comparisons, defaults to "genotype"
Examples
1
mixed <- MM_CIs(fit, predictor = "genotype")
mikeod38/dauergut documentation built on May 30, 2019, 7:16 p.m.
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Description Usage Arguments Examples
Description
generate Tukey-adjusted 95 pct confidence intervals for plotting on the untransformed response scale for linear models using lsmeans package
Usage
1 | MM_CIs(y, predictor)
|
Arguments
y |
input if model fit ie lm, glm, glmer etc... |
predictor |
optional predictor variable for comparisons, defaults to "genotype" |
Examples
1 | mixed <- MM_CIs(fit, predictor = "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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