Chapter 11 Some tips about IOBR

In this section, we’ll cover some of the tips inside the IOBR package in terms of data processing and visualisation.

11.1 Loading packages

library(IOBR)

11.2 Colour Configuration

11.2.1 categorical variable

In IOBR, we created a function for get_col. The user can get the colours with some parameters in it. Please refer to the following example. In order to better suit the requirements of the journal, we have provided some of the more commonly used colour schemes. These include nrc, jama, aaas, jco, paired1, paired2, paired3, paired4, accent, set2.

cols <- get_cols(palette = "jama", show_col = T)

## [1] "'#374E55FF', '#DF8F44FF', '#00A1D5FF', '#B24745FF', '#79AF97FF', '#6A6599FF', '#80796BFF'"

cols

## [1] "#374E55FF" "#DF8F44FF" "#00A1D5FF" "#B24745FF" "#79AF97FF" "#6A6599FF"
## [7] "#80796BFF"

cols <- get_cols(palette = "jco", show_col = T)

## [1] "'#0073C2FF', '#EFC000FF', '#868686FF', '#CD534CFF', '#7AA6DCFF', '#003C67FF', '#8F7700FF', '#3B3B3BFF', '#A73030FF'"

cols

## [1] "#0073C2FF" "#EFC000FF" "#868686FF" "#CD534CFF" "#7AA6DCFF" "#003C67FF"
## [7] "#8F7700FF" "#3B3B3BFF" "#A73030FF"

cols <- get_cols(palette = "nrc", show_col = T)

## [1] "'#E64B35FF', '#4DBBD5FF', '#00A087FF', '#3C5488FF', '#F39B7FFF', '#8491B4FF', '#91D1C2FF', '#DC0000FF', '#7E6148FF'"

cols

## [1] "#E64B35FF" "#4DBBD5FF" "#00A087FF" "#3C5488FF" "#F39B7FFF" "#8491B4FF"
## [7] "#91D1C2FF" "#DC0000FF" "#7E6148FF"

cols <- get_cols(palette = "aaas", show_col = T)

## [1] "'#3B4992FF', '#EE0000FF', '#008B45FF', '#631879FF', '#008280FF', '#BB0021FF', '#5F559BFF', '#A20056FF', '#808180FF'"

cols

## [1] "#3B4992FF" "#EE0000FF" "#008B45FF" "#631879FF" "#008280FF" "#BB0021FF"
## [7] "#5F559BFF" "#A20056FF" "#808180FF"

cols <- get_cols(palette = "paired4", show_col = T)

## [1] "'#FDBF6F', '#FF7F00', '#CAB2D6', '#6A3D9A', '#FFFF99'"

cols

## [1] "#FDBF6F" "#FF7F00" "#CAB2D6" "#6A3D9A" "#FFFF99"

cols <- get_cols(palette = "set2", show_col = T)

## [1] "'#66C2A5', '#FC8D62', '#8DA0CB', '#E78AC3', '#A6D854', '#FFD92F', '#E5C494'"

cols

## [1] "#66C2A5" "#FC8D62" "#8DA0CB" "#E78AC3" "#A6D854" "#FFD92F" "#E5C494"

11.2.2 Higher number of subgroups

In order to cope with multiple groupings, we have selected some colours that are more identifiable with each other and stored these colourways in the objects palette1-4. The user can obtain them by setting the parameter palette.

cols <- get_cols(palette = 1, show_col = T)

## [1] "'#E64B35FF', '#4DBBD5FF', '#00A087FF', '#3C5488FF', '#F39B7FFF', '#8491B4FF', '#91D1C2FF', '#DC0000FF', '#7E6148FF'"

cols

## [1] "#E64B35FF" "#4DBBD5FF" "#00A087FF" "#3C5488FF" "#F39B7FFF" "#8491B4FF"
## [7] "#91D1C2FF" "#DC0000FF" "#7E6148FF"

11.2.3 Gradient colour or heatmap colour scheme

palettes(category = "continue", palette = "puor", show_col = TRUE, show_message = TRUE)

## ℹ Available categories: box, continue2, continue, random, heatmap, heatmap3, tidyheatmap

## ℹ Continue palettes: rdbu, puor, blues, reds

## [1] "'#7F3B08', '#B35806', '#E08214', '#FDB863', '#FEE0B6', '#F7F7F7', '#D8DAEB', '#B2ABD2', '#8073AC', '#542788', '#2D004B'"

##  [1] "#7F3B08" "#B35806" "#E08214" "#FDB863" "#FEE0B6" "#F7F7F7" "#D8DAEB"
##  [8] "#B2ABD2" "#8073AC" "#542788" "#2D004B"

palettes(category = "continue", palette = "rdbu", show_col = TRUE, show_message = TRUE)

## ℹ Available categories: box, continue2, continue, random, heatmap, heatmap3, tidyheatmap

## ℹ Continue palettes: rdbu, puor, blues, reds

## [1] "'#67001F', '#B2182B', '#D6604D', '#F4A582', '#FDDBC7', '#F7F7F7', '#D1E5F0', '#92C5DE', '#4393C3', '#2166AC', '#053061'"

##  [1] "#67001F" "#B2182B" "#D6604D" "#F4A582" "#FDDBC7" "#F7F7F7" "#D1E5F0"
##  [8] "#92C5DE" "#4393C3" "#2166AC" "#053061"

palettes(category = "continue", palette = "blues", show_col = TRUE, show_message = TRUE)

## ℹ Available categories: box, continue2, continue, random, heatmap, heatmap3, tidyheatmap

## ℹ Continue palettes: rdbu, puor, blues, reds

## Warning in RColorBrewer::brewer.pal(11, "Blues"): n too large, allowed maximum for palette Blues is 9
## Returning the palette you asked for with that many colors

## [1] "'#F7FBFF', '#DEEBF7', '#C6DBEF', '#9ECAE1', '#6BAED6', '#4292C6', '#2171B5', '#08519C', '#08306B'"

## [1] "#F7FBFF" "#DEEBF7" "#C6DBEF" "#9ECAE1" "#6BAED6" "#4292C6" "#2171B5"
## [8] "#08519C" "#08306B"

palettes(category = "continue", palette = "reds", show_col = TRUE, show_message = TRUE)

## ℹ Available categories: box, continue2, continue, random, heatmap, heatmap3, tidyheatmap

## ℹ Continue palettes: rdbu, puor, blues, reds

## Warning in RColorBrewer::brewer.pal(11, "Reds"): n too large, allowed maximum for palette Reds is 9
## Returning the palette you asked for with that many colors

## [1] "'#FFF5F0', '#FEE0D2', '#FCBBA1', '#FC9272', '#FB6A4A', '#EF3B2C', '#CB181D', '#A50F15', '#67000D'"

## [1] "#FFF5F0" "#FEE0D2" "#FCBBA1" "#FC9272" "#FB6A4A" "#EF3B2C" "#CB181D"
## [8] "#A50F15" "#67000D"

For heatmap colour configuration, usually more colours are needed. Users can adjust the number of colours to be returned by setting the parameter category to heatmap and by adjusting count. In IOBR, we offer a total of 7 colour schemes. Users can choose the colour scheme by setting the palette.

palettes(category = "heatmap", palette = "1", counts = 20, show_col = TRUE, show_message = TRUE)

## ℹ Available categories: box, continue2, continue, random, heatmap, heatmap3, tidyheatmap

## ℹ Heatmap palettes: 1 (pheatmap), 2 (peach), 3 (blues), 4 (virids), 5 (reds), 6 (RdBu), 7 (navy_firebrick), 8 (magma)

## [1] "'#4575B4', '#5D8CC0', '#75A3CC', '#8CBBD8', '#A5CCE2', '#BEDDEB', '#D7EDF4', '#E6F5EC', '#F0F9DA', '#FAFDC8', '#FEFAB7', '#FEF0A8', '#FEE699', '#FDD78A', '#FDBD78', '#FCA267', '#FA8856', '#EE6A46', '#E24D36', '#D73027'"

##  [1] "#4575B4" "#5D8CC0" "#75A3CC" "#8CBBD8" "#A5CCE2" "#BEDDEB" "#D7EDF4"
##  [8] "#E6F5EC" "#F0F9DA" "#FAFDC8" "#FEFAB7" "#FEF0A8" "#FEE699" "#FDD78A"
## [15] "#FDBD78" "#FCA267" "#FA8856" "#EE6A46" "#E24D36" "#D73027"

palettes(category = "heatmap", palette = "2", counts = 20, show_col = TRUE, show_message = TRUE)

## ℹ Available categories: box, continue2, continue, random, heatmap, heatmap3, tidyheatmap

## ℹ Heatmap palettes: 1 (pheatmap), 2 (peach), 3 (blues), 4 (virids), 5 (reds), 6 (RdBu), 7 (navy_firebrick), 8 (magma)

## [1] "'#3182BD', '#468FC3', '#5C9CCA', '#72A9D1', '#87B6D8', '#9DC3DF', '#B3D0E6', '#C8DEED', '#DEEBF4', '#F4F8FB', '#FDF3F7', '#F9DBE9', '#F6C3DB', '#F2ABCC', '#EE93BE', '#EB7BB0', '#E763A1', '#E44B93', '#E03385', '#DD1C77'"

##  [1] "#3182BD" "#468FC3" "#5C9CCA" "#72A9D1" "#87B6D8" "#9DC3DF" "#B3D0E6"
##  [8] "#C8DEED" "#DEEBF4" "#F4F8FB" "#FDF3F7" "#F9DBE9" "#F6C3DB" "#F2ABCC"
## [15] "#EE93BE" "#EB7BB0" "#E763A1" "#E44B93" "#E03385" "#DD1C77"

palettes(category = "heatmap", palette = "3", counts = 20, show_col = TRUE, show_message = TRUE)

## ℹ Available categories: box, continue2, continue, random, heatmap, heatmap3, tidyheatmap

## ℹ Heatmap palettes: 1 (pheatmap), 2 (peach), 3 (blues), 4 (virids), 5 (reds), 6 (RdBu), 7 (navy_firebrick), 8 (magma)

## [1] "'#084594', '#1155A0', '#1A65AC', '#2474B6', '#3080BD', '#3C8CC3', '#4A97C9', '#59A2CF', '#68ACD5', '#7BB6D9', '#8DC1DD', '#A0CAE1', '#AED1E6', '#BDD7EC', '#C9DDF0', '#D2E3F3', '#DBE9F6', '#E4EFF9', '#EDF5FC', '#F7FBFF'"

##  [1] "#084594" "#1155A0" "#1A65AC" "#2474B6" "#3080BD" "#3C8CC3" "#4A97C9"
##  [8] "#59A2CF" "#68ACD5" "#7BB6D9" "#8DC1DD" "#A0CAE1" "#AED1E6" "#BDD7EC"
## [15] "#C9DDF0" "#D2E3F3" "#DBE9F6" "#E4EFF9" "#EDF5FC" "#F7FBFF"

palettes(category = "heatmap", palette = "7", counts = 20, show_col = TRUE, show_message = TRUE)

## ℹ Available categories: box, continue2, continue, random, heatmap, heatmap3, tidyheatmap

## ℹ Heatmap palettes: 1 (pheatmap), 2 (peach), 3 (blues), 4 (virids), 5 (reds), 6 (RdBu), 7 (navy_firebrick), 8 (magma)

## [1] "'#000080', '#1A1A8D', '#35359A', '#5050A8', '#6B6BB5', '#8686C2', '#A1A1D0', '#BBBBDD', '#D6D6EA', '#F1F1F8', '#FAF3F3', '#F2DCDC', '#EAC4C4', '#E2ADAD', '#DA9696', '#D27F7F', '#CA6767', '#C25050', '#BA3939', '#B22222'"

##  [1] "#000080" "#1A1A8D" "#35359A" "#5050A8" "#6B6BB5" "#8686C2" "#A1A1D0"
##  [8] "#BBBBDD" "#D6D6EA" "#F1F1F8" "#FAF3F3" "#F2DCDC" "#EAC4C4" "#E2ADAD"
## [15] "#DA9696" "#D27F7F" "#CA6767" "#C25050" "#BA3939" "#B22222"