corr_match: Sample data sets for correlation problems
In tessington/qsci381: Data used in QSCI 381, University of Washington
Description
Usage
Format
Source
Examples
Description
Simulated data.
Usage
1
Format
A data frame with 121 observations on the following 9 variables.
- x
a numeric vector
- y1
a numeric vector
- y2
a numeric vector
- y3
a numeric vector
- y4
a numeric vector
- y5
a numeric vector
- y6
a numeric vector
- y7
a numeric vector
- y8
a numeric vector
Source
Simulated data set.
Examples
1
2
3
4
5
6
library(ggplot2)
ggplot(corr_match, aes(x = x, y = y1)) +
geom_point()
cor(corr_match$x, corr_match$y1)
tessington/qsci381 documentation built on Sept. 26, 2020, 12:40 p.m.
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Description Usage Format Source Examples
Description
Simulated data.
Usage
1 |
Format
A data frame with 121 observations on the following 9 variables.
- x
a numeric vector
- y1
a numeric vector
- y2
a numeric vector
- y3
a numeric vector
- y4
a numeric vector
- y5
a numeric vector
- y6
a numeric vector
- y7
a numeric vector
- y8
a numeric vector
Source
Simulated data set.
Examples
1 2 3 4 5 6 | library(ggplot2)
ggplot(corr_match, aes(x = x, y = y1)) +
geom_point()
cor(corr_match$x, corr_match$y1)
|
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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