corr.spear: Pearson & Spearman Correlation Coefficient
In jhk0530/Rstat: Basic Statistical Methods in R

Description Usage Arguments Value Examples

Pearson Correlation Coefficient & Spearman Correlation Coefficient

1	corr.spear(x, y, r0 = 0, xl, yl, mt, step = 1:2, alp = 0.05, dig = 4)

`x`	Vector of x-data
`y`	Vector of y-data
`r0`	Correlation coefficient value under the null hypothesis, Default: 0
`xl`	Name of x-data
`yl`	Name of y-data
`mt`	Title of scatter plot
`step`	Steps of the analysis, Default: 1:2
`alp`	Level of significance, Default: 0.05
`dig`	Number of digits below the decimal point, Default: 4

None.

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x <- c(10, 7, 0, 1, 5, 2, 8, 6, 4, 9, 3, 0, 2, 4, 6, 8)
y <- c(75, 77, 91, 64, 79, 81, 90, 86, 82, 76, 89, 93, 80, 87, 83, 78)
corr.spear(x, y, r0 = 0, xl = "Play", yl = "Score", step = 1:3)