Visualise correlation of public clonotype frequencies in pairs of repertoires.

```
vis_public_clonotypes(
.data,
.x.rep = NA,
.y.rep = NA,
.title = NA,
.ncol = 3,
.point.size.modif = 1,
.cut.axes = TRUE,
.density = TRUE,
.lm = TRUE,
.radj.size = 3.5
)
```

## Arguments

.data |
Public repertoire data - an output from the pubRep function. |
---|

.x.rep |
Either indices of samples or character vector of sample names
for the x-axis. Must be of the same length as ".y.rep". |
---|

.y.rep |
Either indices of samples or character vector of sample names
for the y-axis. Must be of the same length as ".x.rep". |
---|

.title |
The text for the title of the plot. |
---|

.ncol |
An integer number of columns to print in the grid of pairs of repertoires. |
---|

.point.size.modif |
An integer value that is a modifier of the point size.
The larger the number, the larger the points. |
---|

.cut.axes |
If TRUE then axes limits become shorter. |
---|

.density |
If TRUE then displays density plot for distributions of clonotypes
for each sample. If FALSE then removes density plot from the visualisation. |
---|

.lm |
If TRUE then fit a linear model and displays an R adjusted coefficient
that shows how similar samples are in terms of shared clonotypes. |
---|

.radj.size |
An integer value, that defines the size of the The text
for the R adjusted coefficient. |
---|

## Value

A ggplot2 object.

## See also

## Examples

```
data(immdata)
pr <- pubRep(immdata$data, .verbose = FALSE)
vis(pr, "clonotypes", 1, 2)
#> `geom_smooth()` using formula 'y ~ x'
```