`lipidr`

supports two types of plots for sample quality checking.`tic`

plots a bar chart for total sample intensity.`boxplot`

plots a boxplot chart to examine the distribution of values
per sample.

```
plot_samples(
data,
type = c("tic", "boxplot"),
measure = "Area",
log = TRUE,
color = NULL
)
```

- data
LipidomicsExperiment object.

- type
plot type, either

`tic`

or`boxplot`

. Default is`tic`

.- measure
Which measure to use as intensity, usually Area, Area Normalized or Height. Default is

`Area`

- log
Whether values should be log2 transformed. Default is

`TRUE`

- color
The column name of a sample annotation to be used as color

A ggplot object.

```
data(data_normalized)
plot_samples(data_normalized, type = "tic", "Area", log = TRUE)
plot_samples(data_normalized, type = "tic", "Background", log = FALSE)
#> Warning: Removed 1 rows containing non-finite values (`stat_summary()`).
plot_samples(
data_normalized[, data_normalized$group == "QC"],
type = "boxplot",
measure = "Retention Time", log = FALSE
)
#> Warning: Removed 1 rows containing non-finite values (`stat_boxplot()`).
```