Randomly generated example data for demonstrating the functions available in this package.
library(magrittr)
set.seed(8675309)
tma_one <- tibble::tibble(
sample = rep("example_one", 150),
XMin = sample(100:1450, 150),
XMax = XMin + sample(10:30,150, replace = TRUE),
YMin = sample(100:1450, 150),
YMax = YMin + sample(10:30,150, replace = TRUE),
markers = sample(c("CD3", "CD8", "FOXP3", "PD1", "PCK", "DAPI"),
150, replace = TRUE),
indicator = rep(1, 150),
cell_type = sample(c("Stroma", "Tumor"), 150, replace = TRUE)
) %>% tidyr::pivot_wider(names_from = markers, values_from = indicator,
values_fill = 0)
tma_two <- tibble::tibble(
sample = rep("example_two", 150),
XMin = sample(100:1450, 150),
XMax = XMin + sample(10:30,150, replace = TRUE),
YMin = sample(100:1450, 150),
YMax = YMin + sample(10:30,150, replace = TRUE),
markers = sample(c("CD3", "CD8", "FOXP3", "PD1", "PCK", "DAPI"),
150, replace = TRUE),
indicator = rep(1, 150),
cell_type = sample(c("Stroma", "Tumor"), 150, replace = TRUE)
) %>% tidyr::pivot_wider(names_from = markers, values_from = indicator,
values_fill = 0)
tma_three <- tibble::tibble(
sample = rep("example_three", 150),
XMin = sample(100:1450, 150),
XMax = XMin + sample(10:30,150, replace = TRUE),
YMin = sample(100:1450, 150),
YMax = YMin + sample(10:30,150, replace = TRUE),
markers = sample(c("CD3", "CD8", "FOXP3", "PD1", "PCK", "DAPI"),
150, replace = TRUE),
indicator = rep(1, 150),
cell_type = sample(c("Stroma", "Tumor"), 150, replace = TRUE)
) %>% tidyr::pivot_wider(names_from = markers, values_from = indicator,
values_fill = 0)
tma_four <- tibble::tibble(
sample = rep("example_four", 150),
XMin = sample(100:1450, 150),
XMax = XMin + sample(10:30,150, replace = TRUE),
YMin = sample(100:1450, 150),
YMax = YMin + sample(10:30,150, replace = TRUE),
markers = sample(c("CD3", "CD8", "FOXP3", "PD1", "PCK", "DAPI"),
150, replace = TRUE),
indicator = rep(1, 150),
cell_type = sample(c("Stroma", "Tumor"), 150, replace = TRUE)
) %>% tidyr::pivot_wider(names_from = markers, values_from = indicator,
values_fill = 0)
if_data <- list(tma_one, tma_two, tma_three, tma_four)
# store
usethis::use_data(if_data, overwrite = TRUE)
## ✓ Setting active project to '/Users/creedja/Documents/github/spatialIHC'
## ✓ Saving 'if_data' to 'data/if_data.rda'
## ● Document your data (see 'https://r-pkgs.org/data.html')
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