library(knitr) opts_chunk$set(echo=F, message = F, warning = F, fig.pos = "center")
library(preReport) load("data/data.Rdata")
The data including r dim(data)[1]
rows and r dim(data)[2]
columns.
# number = 1:dim(data)[2] features = names(data) class = sapply(data,class) NAs = sapply(data,function(x) sum(is.na(x))) outData = data.frame(features, class, NAs) row.names(outData) = as.character(1:dim(data)[2]) ## TODO: Consider Change Names here ### ### knitr::kable(outData, row.names=T)
naR = naReport(data) knitrNa(naR)
uniqR = uniqueReport(data) knitrUniq(uniqR)
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