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

Description Usage Arguments Value Examples

Pearson Correlation Coefficient & Spearman Correlation Coefficient

1 2	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)