## ----include = FALSE---------------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) options( tibble.print_min = 4L, tibble.print_max = 4L, rmarkdown.html_vignette.check_title = FALSE ) ## ----setup, message = FALSE, include = FALSE---------------------------------- library(tidytof) ## ----eval = FALSE------------------------------------------------------------- # vignette("dplyr") ## ----------------------------------------------------------------------------- data(ddpr_data) set.seed(777L) ddpr_data |> tof_preprocess() |> tof_cluster( cluster_cols = starts_with("cd"), # column specification method = "phenograph", # method specification, ) |> tof_metacluster( cluster_col = .phenograph_cluster, # column specification num_metaclusters = 4, # method specification method = "kmeans" # method specification ) |> tof_downsample( group_cols = .kmeans_metacluster, # column specification num_cells = 200, # method specification method = "constant" # method specification ) |> tof_plot_cells_layout( knn_cols = starts_with("cd"), # column specification color_col = .kmeans_metacluster, # column specification num_neighbors = 7L, # method specification node_size = 2L # method specification ) ## ----------------------------------------------------------------------------- ddpr_data |> # step 1 tof_preprocess() |> # step 2 tof_cluster( cluster_cols = starts_with("cd"), method = "phenograph", # num_metaclusters = 4L, seed = 2020L ) |> # step 3 tof_downsample( group_cols = .phenograph_cluster, method = "constant", num_cells = 400 ) |> # step 4 tof_reduce_dimensions(method = "tsne") |> # step 5 tof_plot_cells_embedding( embedding_cols = contains("tsne"), color_col = .phenograph_cluster ) + ggplot2::theme(legend.position = "none") ## ----eval = FALSE------------------------------------------------------------- # browseVignettes(package = "tidytof") ## ----------------------------------------------------------------------------- sessionInfo()