CI: An S4 Class to Confidence Intervals In SciencesPo: A Tool Set for Analyzing Political Behavior Data

Description

Calculates the confidence intervals for a vector of data values.

Usage

 ```1 2 3``` ```CI(x, level = 0.95, alpha = 1 - level, na.rm = FALSE, ...) CI(x, level = 0.95, alpha = 1 - level, na.rm = FALSE, ...) ```

Arguments

 `x` A vector of data values. `level` The confidence level. Default is `0.95`. `alpha` The significance level. Default is `1-level`. If alpha equals 0.05, then your confidence level is 0.95. `na.rm` A logical value, default is `FALSE` `...` Additional arguements (currently ignored)

Value

 `CI lower` `Est. Mean` Mean of data. `CI upper` Upper bound of interval. `Std. Error` Standard Error of the mean.

Slots

`lower`

Lower bound of interval.

`mean`

Estimated mean.

`upper`

Upper bound of interval.

`stderr`

Standard Error of the mean.

Author(s)

Daniel Marcelino, [email protected].

Examples

 ```1 2 3``` ```x <- c(1, 2.3, 2, 3, 4, 8, 12, 43, -1,-4) CI(x, level=.90) ```

SciencesPo documentation built on May 29, 2017, 9:28 p.m.