interval_estimate4 {OneTwoSamples} | R Documentation |
Two sided or one sided interval estimation of mu
of one normal sample
Description
Compute the two sided or one sided interval estimation of mu
of one normal sample when the population variance is known or unknown.
Usage
interval_estimate4(x, sigma = -1, side = 0, alpha = 0.05)
Arguments
x |
A numeric vector. |
sigma |
The standard deviation of the population. |
side |
A parameter used to control whether to compute two sided or one sided interval estimation. When computing the one sided upper limit, input |
alpha |
The significance level, a real number in [0, 1]. Default to 0.05. 1-alpha is the degree of confidence. |
Value
A data.frame with variables:
mean |
The sample mean. |
df |
The degree of freedom. |
a |
The confidence lower limit. |
b |
The confidence upper limit. |
Author(s)
Ying-Ying Zhang (Robert) robertzhangyying@qq.com
References
Zhang, Y. Y., Wei, Y. (2013), One and two samples using only an R funtion, doi:10.2991/asshm-13.2013.29.
Examples
x=rnorm(10, mean = 1, sd = 0.2); x
interval_estimate4(x, sigma = 0.2, side = -1)
interval_estimate4(x, side = 1)