View source: R/emmeans-tidiers.R
tidy.summary_emm | R Documentation |
Tidy summarizes information about the components of a model. A model component might be a single term in a regression, a single hypothesis, a cluster, or a class. Exactly what tidy considers to be a model component varies across models but is usually self-evident. If a model has several distinct types of components, you will need to specify which components to return.
## S3 method for class 'summary_emm'
tidy(x, null.value = NULL, ...)
x |
A |
null.value |
Value to which estimate is compared. |
... |
Additional arguments passed to |
Returns a data frame with one observation for each estimated marginal mean, and one column for each combination of factors. When the input is a contrast, each row will contain one estimated contrast.
There are a large number of arguments that can be
passed on to emmeans::summary.emmGrid()
or lsmeans::summary.ref.grid()
.
A tibble::tibble()
with columns:
conf.high |
Upper bound on the confidence interval for the estimate. |
conf.low |
Lower bound on the confidence interval for the estimate. |
contrast |
Levels being compared. |
den.df |
Degrees of freedom of the denominator. |
df |
Degrees of freedom used by this term in the model. |
null.value |
Value to which the estimate is compared. |
num.df |
Degrees of freedom. |
p.value |
The two-sided p-value associated with the observed statistic. |
std.error |
The standard error of the regression term. |
level1 |
One level of the factor being contrasted |
level2 |
The other level of the factor being contrasted |
term |
Model term in joint tests |
estimate |
Expected marginal mean |
statistic |
T-ratio statistic or F-ratio statistic |
tidy()
, emmeans::ref_grid()
, emmeans::emmeans()
,
emmeans::contrast()
Other emmeans tidiers:
tidy.emmGrid()
,
tidy.lsmobj()
,
tidy.ref.grid()
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