# Dot Charts - R Base Graphs

Previously, we described the essentials of R programming and provided quick start guides for importing data into **R**.

**dot plot**in R.

# Pleleminary tasks

**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.

Here, we’ll use the R built-in mtcars data set.

# Data

We’ll use *mtcars* data sets. We start by ordering the data set according to mpg variable.

`mtcars <- mtcars[order(mtcars$mpg), ]`

# R base function: dotchart()

The function **dotchart**() is used to draw a cleveland dot plot.

```
dotchart(x, labels = NULL, groups = NULL,
gcolor = par("fg"), color = par("fg"))
```

**x**: numeric vector or matrix**labels**: a vector of labels for each point.**groups**: a grouping variable indicating how the elements of x are grouped.**gcolor**: color to be used for group labels and values.**color**: the color(s) to be used for points and labels.

# Dot chart of one numeric vector

```
# Dot chart of a single numeric vector
dotchart(mtcars$mpg, labels = row.names(mtcars),
cex = 0.6, xlab = "mpg")
```

```
# Plot and color by groups cyl
grps <- as.factor(mtcars$cyl)
my_cols <- c("#999999", "#E69F00", "#56B4E9")
dotchart(mtcars$mpg, labels = row.names(mtcars),
groups = grps, gcolor = my_cols,
color = my_cols[grps],
cex = 0.6, pch = 19, xlab = "mpg")
```

# Dot chart of a matrix

```
dotchart(VADeaths, cex = 0.6,
main = "Death Rates in Virginia - 1940")
```

# See also

# Infos

This analysis has been performed using **R statistical software** (ver. 3.2.4).

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