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cchaid's Introduction

cchaid

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cchaid

======= Building a decision tree based on chaid algorithm

use the function cc_read_file("aidwork3.txt"). That is all.

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cchaid's Issues

take data[,i] instead of y

y standing alone is giving problems. I think it is better to keep it within data and use the i index. please refer comments in #12

naming convention

use this convention: (only for package, not for internal functions)
this is only for developer

prefix all exported functions with cc: ccread, ccmerge, ccsplit, ccplot, ccout

check for alpha_merge

Add a check:
2. If all pairs have p value significant than user defined alpha_merge, go to bonferroni

extracting correct p values

Currently, the pairwise.t.test collects max p value for both ordinal and nominal. This is wrong.

for nominal it should be max of the whole p matrix

for ordinal, it should be the max of the diagonal of the whole p matrix

add checks for levels

Add two checks for merge.step

  1. If there are only two levels in a factor predictor, do not split the predictor

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