CorGroups {StatDA} | R Documentation

## Correlation Matrix for Sub-groups

### Description

The correlation matrix for sub-groups of data is computed and displayed in a graphic.

### Usage

    CorGroups(dat, grouping, labels1, labels2, legend, ndigits = 4,
    method = "pearson", ...)

### Arguments

`dat` | data values (probably log10-transformed)
`grouping` | factor with levels for different groups
`labels1, labels2` | labels for groups
`legend` | plotting legend
`ndigits` | number of digits to be used for plotting the numbers
`method` | correlation method: "pearson", "spearman" or "kendall"
`...` | will not be used in the function

### Details

The corralation is estimated with a non robust method but it is possible to select between the method of Pearson, Spearman and Kendall. The groups must be provided by the user.

### Value

Graphic with the different sub-groups.

### Author(s)

Peter Filzmoser <P.Filzmoser@tuwien.ac.at>

### References

C. Reimann, P. Filzmoser, R.G. Garrett, and R. Dutter: Statistical Data Analysis Explained. Applied Environmental Statistics with R. John Wiley and Sons Inc. To appear.

### Examples

    data(chorizon)
    x=chorizon[,c("Ca","Cu","Mg","Na","P","Sr","Zn")]

    #definition of the groups
    lit=chorizon[,"LITO"]
    litolog=rep(NA, length(lit))
    litolog[lit==10] <- 1
    litolog[lit==52] <- 2
    litolog[lit==81 | lit==82 | lit==83] <- 3
    litolog[lit==7] <- 4
    litolog <- litolog[!is.na(litolog)]
    litolog <- factor(litolog, labels=c("AB","PG","AR","LPS"))

    par(mfrow=c(1,1),mar=c(0.1,0.1,0.1,0.1))
    CorGroups(log10(x), grouping=litolog, labels1=dimnames(x)[[2]],labels2=dimnames(x)[[2]],
    legend=c("Caledonian Sediments","Basalts","Alkaline Rocks","Granites"),ndigits=2)

[Package StatDA version 1.0 Index]