Summary method for the mds function

# S3 method for mds
summary(object, dec = 2, ...)

Arguments

object

Return value from mds

dec

Rounding to use for output (default = 2). +1 used for stress measure

...

further arguments passed to or from other methods

Details

See https://radiant-rstats.github.io/docs/multivariate/mds.html for an example in Radiant

See also

mds to calculate results

plot.mds to plot results

Examples

result <- mds(city, "from", "to", "distance") summary(result, dec = 1)
#> (Dis)similarity based brand map (MDS) #> Data : city #> Variables : from, to, distance #> Dimensions: 2 #> Method : Metric #> Observations: 45 #> #> Original distance data: #> Boston NY DC Miami Chicago Seattle SF LA #> NY 206 #> DC 429 233 #> Miami 1504 1308 1075 #> Chicago 963 802 671 1329 #> Seattle 2976 2815 2684 3273 2013 #> SF 3095 2934 2799 3053 2142 808 #> LA 2979 2786 2631 2687 2054 1131 379 #> Denver 1949 1771 1616 2037 996 1307 1235 1059 #> #> Recovered distance data: #> Boston NY DC Miami Chicago Seattle SF LA #> NY 216.2 #> DC 424.3 209.3 #> Miami 1481.0 1320.5 1159.8 #> Chicago 964.2 781.6 649.7 1431.6 #> Seattle 2950.1 2814.8 2720.0 3271.4 2077.3 #> SF 3103.3 2929.1 2787.1 3054.3 2147.6 777.6 #> LA 2993.0 2800.5 2634.9 2728.9 2030.3 1207.1 488.2 #> Denver 1930.7 1750.8 1606.5 2015.2 969.3 1256.5 1180.7 1089.0 #> #> Coordinates: #> Dimension 1 Dimension 2 #> Boston -1348.7 -462.4 #> NY -1198.9 -306.5 #> DC -1077.0 -136.4 #> Miami -1226.9 1013.6 #> Chicago -428.5 -174.6 #> Seattle 1596.2 -639.3 #> SF 1697.2 131.7 #> LA 1464.0 560.6 #> Denver 522.5 13.4 #> #> Stress: 0.02