# Strip charts: 1-D scatter plots - R Base Graphs

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

Here, we’ll describe how to create

**strip charts**(i.e., one dimensional scatter plots or dot plots) in R. These plots are a good alternative to box plots when sample sizes are small.# 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 ToothGrowth data set.

```
ToothGrowth$dose <- as.factor(ToothGrowth$dose)
# Print the first 6 rows
head(ToothGrowth, 6)
```

```
## len supp dose
## 1 4.2 VC 0.5
## 2 11.5 VC 0.5
## 3 7.3 VC 0.5
## 4 5.8 VC 0.5
## 5 6.4 VC 0.5
## 6 10.0 VC 0.5
```

# R base function: stripchart()

`stripchart(x, data = NULL method = "overplot", jitter = 0.1)`

**x**: the data from which the plots are to be produced. Allowed values are one or a list of numeric vector, each corresponding to a component plot.**data**: a data.frame (or list) from which the variables in x should be taken.**Method**: the method to be used to separate coincident points. Allowed values are one of “overplot”, “jitter” or “stack”.**jitter**: when method = “jitter” is used, jitter gives the amount of jittering applied.

# Create strip charts

```
# Plot len by dose
stripchart(len ~ dose, data = ToothGrowth,
pch = 19, frame = FALSE)
```

```
# Vertical plot using method = "jitter"
stripchart(len ~ dose, data = ToothGrowth,
pch = 19, frame = FALSE, vertical = TRUE,
method = "jitter")
```

```
# Change point shapes (pch) and colors by groups
# add main title and axis labels
stripchart(len ~ dose, data = ToothGrowth,
frame = FALSE, vertical = TRUE,
method = "jitter", pch = c(21, 18, 16),
col = c("#999999", "#E69F00", "#56B4E9"),
main = "Length by dose", xlab = "Dose", ylab = "Length")
```

# See also

# Infos

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

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