Lin's Concordance Coefficient
See Also
Lin's concordance correlation coefficient measures how well a new set of observations reproduce an original set. So, for example, it can be used to assess the effectiveness of new instruments or measurement methods. The coefficient is calculated by multiplying two components. The first is the ordinary Pearson correlation coefficient, which essentially assesses the linear relationship between the two sets of measurements. However, for the second set to reproduce the first, the slope of the line relating the two sets should be one, and the line should go through the origin. These other aspects are assessed by the second component, which is known as Cb.

Data Arrangement

The data can be supplied either as a list of variates or as a single variate with a factor defining the groups.
List Of VariatesThe samples must be supplied as a list of variates, whose names should be entered in the List of Data box
One Set with GroupsThe data must be supplied in one variate, specified as the Data Set. Membership of the different samples is then indicated by the Groups factor

Reference level

Specifies the set of measurements to be used as the control if there are more than two variates or groups.

Confidence Limit

Specifies the size of the confidence interval for the coefficient. The value should be entered as a percentage.

Available Data

List variates and factors that can be used to supply the data sets and groups. The contents may change as you move from one input field to another, so that appropriate types of data structure are listed. Double-click on a name to copy it into the current input field; alternatively you can enter the name directly using the keyboard.

See Also