olink_osi_dist_plot: OSI distribution plot

In OlinkAnalyze: Facilitate Analysis of Proteomic Data from Olink

OSI distribution plot

Description

Generates a density plot showing the distribution of the selected OSI score among dataset samples using ggplot2. OSI score can be one of "OSITimeToCentrifugation", "OSIPreparationTemperature", or "OSISummary". Olink external controls are excluded from this visualization.

Usage

olink_osi_dist_plot(df, check_log = NULL, osi_score = NULL)

Arguments

df	data frame with OSI data present
check_log	check log from check NPX
osi_score	OSI column to graph, one of OSISummary, OSITimeToCentrifugation, or OSIPreparationTemperature

Value

distribution plot (histogram overlayed with density plot) of osi values for corresponding osi_score column

Examples

# Creating fake OSI data from Site data
npx_df <- OlinkAnalyze::npx_data1 |>
  dplyr::filter(
    !grepl(pattern = "control",
    x = .data[["SampleID"]],
    ignore.case = TRUE)
  ) |>
  dplyr::mutate(
    OSISummary = as.numeric(as.factor(.data[["Site"]])),
    OSISummary = .data[["OSISummary"]] - min(.data[["OSISummary"]],
                                             na.rm = TRUE),
    OSISummary = .data[["OSISummary"]] / max(.data[["OSISummary"]],
                                             na.rm = TRUE)
  )

check_log <- OlinkAnalyze::check_npx(
  df = npx_df
)

# Generate figure
OlinkAnalyze::olink_osi_dist_plot(
  df = npx_df,
  check_log = check_log,
  osi_score = "OSISummary"
)

OlinkAnalyze documentation built on June 24, 2026, 1:06 a.m.