Line Plots - R Base Graphs
Previously, we described the essentials of R programming and provided quick start guides for importing data into R.
Launch RStudio as described here: Running RStudio and setting up your working directory
Prepare your data as described here: Best practices for preparing your data and save it in an external .txt tab or .csv files
Import your data into R as described here: Fast reading of data from txt|csv files into R: readr package.
R base functions: plot() and lines()
The simplified format of plot() and lines() is as follow.
plot(x, y, type = "l", lty = 1) lines(x, y, type = "l", lty = 1)
- x, y: coordinate vectors of points to join
- type: character indicating the type of plotting. Allowed values are:
- “p” for points
- “l” for lines
- “b” for both points and lines
- “c” for empty points joined by lines
- “o” for overplotted points and lines
- “s” and “S” for stair steps
- “n” does not produce any points or lines
- lty: line types. Line types can either be specified as an integer (0=blank, 1=solid (default), 2=dashed, 3=dotted, 4=dotdash, 5=longdash, 6=twodash) or as one of the character strings “blank”, “solid”, “dashed”, “dotted”, “dotdash”, “longdash”, or “twodash”, where “blank” uses ‘invisible lines’ (i.e., does not draw them).
Create some data
# Create some variables x <- 1:10 y1 <- x*x y2 <- 2*y1
We’ll plot a plot with two lines: lines(x, y1) and lines(x, y2).
Note that the function lines() can not produce a plot on its own. However, it can be used to add lines() on an existing graph. This means that, first you have to use the function plot() to create an empty graph and then use the function lines() to add lines.
Basic line plots
# Create a basic stair steps plot plot(x, y1, type = "S") # Show both points and line plot(x, y1, type = "b", pch = 19, col = "red", xlab = "x", ylab = "y")
Plots with multiple lines
# Create a first line plot(x, y1, type = "b", frame = FALSE, pch = 19, col = "red", xlab = "x", ylab = "y") # Add a second line lines(x, y2, pch = 18, col = "blue", type = "b", lty = 2) # Add a legend to the plot legend("topleft", legend=c("Line 1", "Line 2"), col=c("red", "blue"), lty = 1:2, cex=0.8)
This analysis has been performed using R statistical software (ver. 3.2.4).
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