This shows the output of LDA function from workingfunctions.
Installation instructions of workingfunctions can be found here https://github.com/sedzinfo/workingfunctions
## $prior_counts
## prior counts mean.education6.11yrs mean.education12..yrs mean.age mean.parity mean.induced mean.spontaneous mean.stratum mean.pooled.stratum
## 0 0.6653226 165 0.4848485 0.4666667 31.49091 2.084848 0.5636364 0.3878788 41.80606 33.52121
## 1 0.3346774 83 0.4819277 0.4698795 31.53012 2.108434 0.5903614 0.9518072 42.00000 33.69880
##
## $means
## education6-11yrs education12+ yrs age parity induced spontaneous stratum pooled.stratum
## 0 0.4848485 0.4666667 31.49091 2.084848 0.5636364 0.3878788 41.80606 33.52121
## 1 0.4819277 0.4698795 31.53012 2.108434 0.5903614 0.9518072 42.00000 33.69880
##
## $coeficients
## LD1
## education6-11yrs 0.75022622
## education12+ yrs 2.04878231
## age 0.06296971
## parity -0.45741902
## induced 1.16162261
## spontaneous 1.98017958
## stratum -0.00185125
## pooled.stratum -0.05209454
##
## $terms
## case ~ education + age + parity + induced + spontaneous + stratum +
## pooled.stratum
## attr(,"variables")
## list(case, education, age, parity, induced, spontaneous, stratum,
## pooled.stratum)
## attr(,"factors")
## education age parity induced spontaneous stratum pooled.stratum
## case 0 0 0 0 0 0 0
## education 1 0 0 0 0 0 0
## age 0 1 0 0 0 0 0
## parity 0 0 1 0 0 0 0
## induced 0 0 0 1 0 0 0
## spontaneous 0 0 0 0 1 0 0
## stratum 0 0 0 0 0 1 0
## pooled.stratum 0 0 0 0 0 0 1
## attr(,"term.labels")
## [1] "education" "age" "parity" "induced" "spontaneous" "stratum" "pooled.stratum"
## attr(,"order")
## [1] 1 1 1 1 1 1 1
## attr(,"intercept")
## [1] 1
## attr(,"response")
## [1] 1
## attr(,".Environment")
## <environment: R_GlobalEnv>
## attr(,"predvars")
## list(case, education, age, parity, induced, spontaneous, stratum,
## pooled.stratum)
## attr(,"dataClasses")
## case education age parity induced spontaneous stratum pooled.stratum
## "numeric" "factor" "numeric" "numeric" "numeric" "numeric" "numeric" "numeric"
##
## $model_description
## Observations SDV
## 1 248 8.428289
##
## $cmatrix
## 0 1 2 sum p
## 0 146.00 42.00 0.00 188.00 0.78
## 1 19.00 41.00 0.00 60.00 0.68
## 2 0.00 0.00 0.00 0.00 0.00
## sum 165.00 83.00 0.00 248.00 1.00
## p 0.88 0.49 0.00 1.00 0.75
##
## $call
## call
## 1 lda(formula=case~.,data=infert)