# Dot plot in R (Dot Chart)

Dot plot in R also known as dot chart is an alternative to bar charts, where the bars are replaced by dots. A simple Dot plot in R can be created using dotchart function.

#### Syntax of dotchart() function in R for Dot plot:

dotchart (NumericVector,  cex = 1, col = “black”, labels = NULL, main = NULL, pch = 1, sub = NULL, xlab = NULL)

 NumericVector Numeric vector to be plotted cex plot scaling factor(size) . More the value of cex, more the plot size will be col colour of the dot labels A vector containing the label names for each plotted value. main Title of the dot chart pch numeric value which decides the type of plot … if pch=1 then dot, pch=2 then triangle, pch=3 then ‘+’ sub subtitle of the dot chart xlab x axis label

#### Example of dot plot in R

We will use the PlantGrowth data set to depict an example of R dot plot

```#simple dot plot in R

dotchart(PlantGrowth\$weight,col="red",pch=1,labels=PlantGrowth\$group,
main="group vs weight",
xlab="weight")
```

the above dotchart() function takes up numeric vector as first argument and plots the red dots with labels and title. So the output will be #### Dot plot in R for groups:

Suppose if we want to create the different dot plots for different group of the same data set, how to do that? For Example PlantGrowth data set have 3 groups ctrl, trt1 and trt2. Lets demonstrate how to differentiate among these 3 groups while plotting a dot chart

```#Dot chart in R for groups
#subset and assign colour

pg <- PlantGrowth
pg\$color[pg\$group=="ctrl"] <- "red"
pg\$color[pg\$group=="trt1"] <- "Violet"
pg\$color[pg\$group=="trt2"] <- "blue"

# plot the dot chart
dotchart(PlantGrowth\$weight, labels=PlantGrowth\$group,cex=0.8,groups= PlantGrowth\$group,
main="group vs weight",
xlab="weight", gcolor="black", color=pg\$color)
```

First subset the groups and assign different colour for different groups. Then with the help of dotchart() function use the argument,  groups= PlantGrowth\$group  and color= pg\$color  as shown above

So the output will be 