nnt_anova: Laupacis' adjusted and marginal NNT in one-way ANOVA
In vancak/NNTcalculator: Calculator of unadjusted, adjusted and marginal NNT
nnt_anova R Documentation
Laupacis' adjusted and marginal NNT in one-way ANOVA
Description
Internal function. Not for users. Calculates Laupacis' adjusted and marginal NNT in one-way ANOVA.
Takes a data-set suitable for a one-way ANOVA analysis and returns
the estimated adjusted NNT(k) and the marginal NNT.
Usage
nnt_anova(response, x, cutoff, base, decrease, data)
Arguments
response
vector of the response variable (i.e., the dependent variable).
x
vector of the explanatory variable, i.e., the factor of different treatments.
cutoff
the MCID threshold.
base
control group of the x variable in the one-way ANOVA model.
decrease
TRUE or FALSE. Indicates whether the MCID change is decrease in the response variable.
data
data frame that contains the required variables for the computations.
Value
The estimated marginal and adjusted NNT with their corresponding 95 percent confidence intervals.
vancak/NNTcalculator documentation built on April 7, 2022, 3:48 a.m.
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| nnt_anova | R Documentation |
Laupacis' adjusted and marginal NNT in one-way ANOVA
Description
Internal function. Not for users. Calculates Laupacis' adjusted and marginal NNT in one-way ANOVA. Takes a data-set suitable for a one-way ANOVA analysis and returns the estimated adjusted NNT(k) and the marginal NNT.
Usage
nnt_anova(response, x, cutoff, base, decrease, data)
Arguments
response |
vector of the response variable (i.e., the dependent variable). |
x |
vector of the explanatory variable, i.e., the factor of different treatments. |
cutoff |
the MCID threshold. |
base |
control group of the x variable in the one-way ANOVA model. |
decrease |
TRUE or FALSE. Indicates whether the MCID change is decrease in the response variable. |
data |
data frame that contains the required variables for the computations. |
Value
The estimated marginal and adjusted NNT with their corresponding 95 percent confidence intervals.
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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