| find_dominant_difference_using_averages {BallMapper} | R Documentation |
This procedure take two subset of points (that come from the vertices of Ball Mapper) and return the coordinates on which the averages of those two collections differs most. To ballance the effect of potentially different orders of magnitude of data in column, we divide the difference in means by the mean of the whole column.
Description
This procedure take two subset of points (that come from the vertices of Ball Mapper) and return the coordinates on which the averages of those two collections differs most. To ballance the effect of potentially different orders of magnitude of data in column, we divide the difference in means by the mean of the whole column.
Usage
find_dominant_difference_using_averages(points, subset1, subset2)
Arguments
points |
a collection of input points in a form of a data frame. The same one as on the input of the Ball Mapper. |
subset1 |
First subset of ids of points. |
subset2 |
Second subset of ids of points. |
Value
Vector of corrdinate ids with the absolute value of difference between averages, ordered according to the second variable. var <- seq(from=0,to=6.3,by=0.1) points <- as.data.frame( cbind( sin(var),cos(var) ) ) values <- as.data.frame(sin(var)) l <- BallMapper(points, values, 0.25) g1 <- c(1,21 g2 <- c(11,12) find_dominant_difference_using_averages(points,g1,g2)