# Transition plot in R-change in time visualization

Transition Plot in R, when we have quantitative data for change in time, visualization is straight forward but in the case of a categorical variable, it’s not as easy.

In this article, we are going to describe transition plots for categorical variables.

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## Approach 1:-

You can use plotmat function from the diagram package.

If you are not installed, let’s install the package.

```install.packages("diagram")
library(diagram)
plotmat(transition_matrix[1:3,1:3])```

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## Approach 2:-

Let’s load the package transition plot function from Gmisc package.

```library(Gmisc)
library(grid)```

Let’s create a matrix for visualization,

```no_boxes <- 3
transition_matrix <- matrix(NA, nrow = no_boxes, ncol = no_boxes)
transition_matrix[1, ] <- 200 * c(.5, .25, .25)
transition_matrix[2, ] <- 540 * c(.75, .10, .15)
transition_matrix[3, ] <- 340 * c(0, .2, .80)
transition_matrix```
```     [,1] [,2] [,3]
[1,]  100   50   50
[2,]  405   54   81
[3,]    0   68  272```

Let’s load the transition plot function and fill the box names

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## Transition plot in R

```transitionPlot(transition_matrix,
box_txt = c("First", "Second", "Third"),
type_of_arrow = "simple",
min_lwd = unit(1, "mm"),
max_lwd = unit(6, "mm"),
```

Based on a transition plot function, visualizing time change is quick and provide more intuitive understanding. The lines indicates the transition from one particular group/level into the next.

```library(RColorBrewer)
output_perc <-
function(txt, n) sprintf("%s\n[%.0f%%]", txt, n)
box_txt <-
cbind(mapply(output_perc,
txt = c("First", "Second", "Third"),
n = prop.table(rowSums(transition_matrix))*100),
mapply(output_perc,
txt = c("First", "Second", "Third"),
n = prop.table(colSums(transition_matrix))*100))```
```transitionPlot(transition_matrix,
box_label = c("Before", "After"),
box_txt = box_txt,
cex = 1.2,
type_of_arrow = "simple") ```

You can add title while using main, box labels based on box_label, and customizing box text can using box_txt. The box_txt vector assumes the same text or label for both left and right boxes.

## Conclusion

The function transition plot is from Gmisc-package and it’s very handy when we need categorical time change visualization. The original idea was for transitionPlot is to show the before and after impact.

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