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x1,x2 is g1,g2 #145

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0d71bc0
x1,x2 is g1,g2
Matthew-May Jan 14, 2018
75a239c
fix two things
Matthew-May Feb 18, 2018
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2 changes: 1 addition & 1 deletion 06_StatisticalInference/08_tCIs/index.Rmd
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Original file line number Diff line number Diff line change
Expand Up @@ -178,7 +178,7 @@ sp <- sqrt((7 * 15.34^2 + 20 * 18.23^2) / (8 + 21 - 2))
## Mistakenly treating the sleep data as grouped
```{r}
n1 <- length(g1); n2 <- length(g2)
sp <- sqrt( ((n1 - 1) * sd(x1)^2 + (n2-1) * sd(x2)^2) / (n1 + n2-2))
sp <- sqrt( ((n1 - 1) * sd(g1)^2 + (n2-1) * sd(g2)^2) / (n1 + n2-2))
md <- mean(g2) - mean(g1)
semd <- sp * sqrt(1 / n1 + 1/n2)
rbind(
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3 changes: 2 additions & 1 deletion 08_PracticalMachineLearning/016preProcessingPCA/index.Rmd
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Expand Up @@ -18,6 +18,7 @@ mode : selfcontained # {standalone, draft}
```{r setup, cache = F, echo = F, message = F, warning = F, tidy = F}
# make this an external chunk that can be included in any file
options(width = 100)
library(knitr)
opts_chunk$set(message = F, error = F, warning = F, comment = NA, fig.align = 'center', dpi = 100, tidy = F, cache.path = '.cache/', fig.path = 'fig/')

options(xtable.type = 'html')
Expand Down Expand Up @@ -158,7 +159,7 @@ plot(spamPC[,1],spamPC[,2],col=typeColor)
```{r pcaCaret,dependson="spamPC",cache=TRUE,fig.height=3.5,fig.width=3.5}
preProc <- preProcess(log10(training[,-58]+1),method="pca",pcaComp=2)
trainPC <- predict(preProc,log10(training[,-58]+1))
modelFit <- train(training$type ~ .,method="glm",data=trainPC)
modelFit <- train(y=training$type,method="glm",x=trainPC)
```

---
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