<<<<<<< HEAD
======= Building a decision tree based on chaid algorithm
use the function cc_read_file("aidwork3.txt"). That is all.
529bc397875bc48512a5031be0b3bb8acace68a8
Building a decision tree based on chaid
add a sample dataset to explore the functions without a datafile.
add documentation for sample dataset
The accès to various various is global which clutters the R environment. Cleanup access control.
return the function result as user defined name to avoid conflict/overwriting in sample data objects
cc_define_file() returns an object cc_dataset
and sample dataset is also called cc_dataset
data set is loaded but it does not show up at runtime, throws an error
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
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
add ability to read data from excel sheets
Add a check:
2. If all pairs have p value significant than user defined alpha_merge
, go to bonferroni
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
Sri,
Would you please push the merge.R with the merging function you made?
add documentation for each function
Add two checks for merge.step
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