MM_CI_trans_Tukey: MM_CI_trans_Tukey
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 binomial or other transformed model data
using lsmeans package. For glmms no degrees of freedom are available, so these
are asymptotic confidence intervals.
Usage
1
MM_CI_trans_Tukey(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_CI_trans_Tukey(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 binomial or other transformed model data using lsmeans package. For glmms no degrees of freedom are available, so these are asymptotic confidence intervals.
Usage
1 | MM_CI_trans_Tukey(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_CI_trans_Tukey(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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