confidenceInterval: Calculate confidence interval
In dadrivr/ffanalytics: Fantasy Football Analytics
Description
Confidence intervals are determined as percentiles (default 10 and 90).
If the correcpsonding average value is less than the low point then we
set the lower point to the minimum value. Conversely if the average value is
higher than the upper limit then we set the upper limit to the max value.
Usage
1
2
confidenceInterval(calcMethod = "weighted", dataValue = as.numeric(),
dataWeights = as.numeric(), pValues = c(0.1, 0.9), na.rm = FALSE)
Arguments
calcMethod
Calculation method. Can be one of "weighted", "robust" or
"average"
dataValue
Vector of values to calculate confidence interval for
dataWeights
Vector of weights for weighted calculation
pValues
Vector of percentiles for the confidence interval. Defaults to
c(0.1, 0.9) for 10 and 90 percentiles.
dadrivr/ffanalytics documentation built on May 14, 2019, 3:12 p.m.
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Description
Confidence intervals are determined as percentiles (default 10 and 90). If the correcpsonding average value is less than the low point then we set the lower point to the minimum value. Conversely if the average value is higher than the upper limit then we set the upper limit to the max value.
Usage
1 2 | confidenceInterval(calcMethod = "weighted", dataValue = as.numeric(),
dataWeights = as.numeric(), pValues = c(0.1, 0.9), na.rm = FALSE)
|
Arguments
calcMethod |
Calculation method. Can be one of "weighted", "robust" or "average" |
dataValue |
Vector of values to calculate confidence interval for |
dataWeights |
Vector of weights for weighted calculation |
pValues |
Vector of percentiles for the confidence interval. Defaults to
|
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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