Turn numeric into categorical data.
AdultUCI[["age"]] <- ordered(cut(AdultUCI[["age"]], c(15,25,45,65,100)), labels = c("Young", "Middle-aged", "Senior", "Old"))
Turn numeric into categorical data.
AdultUCI[["age"]] <- ordered(cut(AdultUCI[["age"]], c(15,25,45,65,100)), labels = c("Young", "Middle-aged", "Senior", "Old"))
Two column for LaTeX from Pandoc.
Add twocolumn and replace longtable with supertabular.
\documentclass[twocolumn]{article} ... \usepackage{supertabular} ... \begin{supertabular}[c]{@{}lll@{}} ... \end{supertabular}
To make a figure span over two columns, use figure*.
\begin{figure*}[htbp] ... \end{figure*}
Diff sort output.
diff <(sort file1) <(sort file2)
Change the order of discrete axis.
Generate a factor with reversed levels or use a new ggplot2 option.
Examples.
df$X1 = with(df, factor(X1, levels = rev(levels(X1))))
http://stackoverflow.com/questions/7418191/sorting-dotplot-factor-axis-in-ggplot
flevels <- levels(PlantGrowth$group)
- Reverse the order of a discrete-valued axis
- Get the levels of the factor
flevels <- rev(flevels)
- "ctrl" "trt1" "trt2"
- Reverse the order
bp + scale_x_discrete(limits=flevels)
- "trt2" "trt1" "ctrl"
http://www.cookbook-r.com/Graphs/Axes_(ggplot2)/#reversing-the-direction-of-an-axis