inst/examples/R/data/theory/data_sampling/example_sample.R
In sigbertklinke/shinyExample: Create and run simple (interactive) programs as Shiny apps
data(Boston, package="MASS")
mean(Boston$medv) # true mean in the population
#
library("DescTools")
# random sample of size 100
ind <- sample(1:nrow(Boston), size=100)
MeanCI(Boston$medv[ind])
# biased sample of size 100
ind <- sample(1:nrow(Boston), size=100, prob=Boston$rm>6.5)
MeanCI(Boston$medv[ind])
#
# There is a population for each sample,
# but most likely it is not the population of interest!
sigbertklinke/shinyExample documentation built on May 26, 2019, 4:32 a.m.
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data(Boston, package="MASS")
mean(Boston$medv) # true mean in the population
#
library("DescTools")
# random sample of size 100
ind <- sample(1:nrow(Boston), size=100)
MeanCI(Boston$medv[ind])
# biased sample of size 100
ind <- sample(1:nrow(Boston), size=100, prob=Boston$rm>6.5)
MeanCI(Boston$medv[ind])
#
# There is a population for each sample,
# but most likely it is not the population of interest!
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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