| create_fisher_interval {Counternull} | R Documentation |
Compute Fisher Interval
Description
Computes Fisher (Fidicual) Interval and returns object of "fisher_interval" class.
Usage
create_fisher_interval(null_r, alpha = NULL, width = NULL)
Arguments
null_r |
"null_rand" object corresponding to data used for interval |
alpha |
Significance level for Fisher Interval (default = .05 for 95% confidence) |
width |
Integer indicating the number of values to search for to construct Fisher Interval. Default value = 10000. (Increasing this argument may result in increased accuracy of interval.) (Optional) |
Details
Call summary on "fisher_interval" class to retrieve information on the Fisher Interval. Call plot on "fisher_interval" class for visualization of Fisher Interval.
Use "create_null_rand" function to produce "null_rand" object for first argument.
Note: The warning 'Fisher Interval coverage is smaller than specified' indicates that there are no effect sizes found that match the p-value bounds for the specified significance level (ie. .025 and .975 for alpha = .05). In this case, the largest possible interval found under the significance level alpha will be returned. Check "pvalue_lower" and "pvalue_upper" parameters to see which p-value bounds are used.
Value
Class "fisher_interval" with 4 entries:
- lower_bound
Lower bound of Fisher Interval
- upper_bound
Upper bound of Fisher Interval
- alpha
Specified significance value
- pvalue_lower
P-value corresponding to lower bound of interval
- pvalue_upper
P-value corresponding to upper bound of interval
- range
Range of effect values tested
- null_r
Specified "null_rand" object
References
Examples
y = sample_data$turn_angle
w = sample_data$w
n_r = create_null_rand(y,w, sample_matrix, test_stat = c("diffmeans"))
f= create_fisher_interval(n_r)
summary(f)
plot(f)