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Merge branch 'main' of github.com:binhe-lab/E041-yeast-viability-assay
2 parents 8b38716 + 4142d3a commit 67e2982

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80-JL-cell-size-normalize-test/Ca_PI_vs_PI+FGL_Log_Correlation.rmd

Lines changed: 8 additions & 8 deletions
Original file line numberDiff line numberDiff line change
@@ -460,16 +460,16 @@ b_data_pos <- dplyr::filter(norm_data, Treatment == "Both") %>%
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geom_polygon(data = b_polygon, aes(x = BL1.H, y = BL3.H, group = 1),
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fill = NA, color = "red", size = 1.2) +
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geom_text(data = b_pct,
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aes(x = 10^3.5, y = 10^4.5, label = paste0(percentage_inside, "%")),
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color = "black", size = 4, fontface = "bold", hjust = 1.2) +
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aes(x = 10^3.5, y = 10^4, label = paste0(percentage_inside, "%")),
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color = "black", size = 4, fontface = "bold") +
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facet_grid(rows = vars(H2O2_conc), cols = vars(Date)) +
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theme_minimal() +
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labs(x = "BL1.H", y = "BL3.H") +
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scale_x_logicle() +
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scale_y_logicle()
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b_data_pos
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#ggsave("./output/Ca-Both_raw_red_positive_d040225.png", width = 7, height = 4)
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ggsave("./output/Ca-Both_raw_red_positive_d040225.png", width = 7, height = 4)
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b_polygon <- get_polygon("b","Yes","red_pos")
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b_pct <- get_polygon_pct("b", norm_data, "red_pos", "Yes")
@@ -481,16 +481,16 @@ b_data_pos_raw <- dplyr::filter(norm_data, Treatment == "Both") %>%
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geom_polygon(data = b_polygon, aes(x = nGFP, y = nRFP, group = 1),
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fill = NA, color = "red", size = 1.2) +
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geom_text(data = b_pct,
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aes(x = 10^3.5, y = 10^4.5, label = paste0(percentage_inside, "%")),
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color = "black", size = 4, fontface = "bold", hjust = 1.2) +
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aes(x = 10^3.5, y = 10^4, label = paste0(percentage_inside, "%")),
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color = "black", size = 4, fontface = "bold") +
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facet_grid(rows = vars(H2O2_conc), cols = vars(Date)) +
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theme_minimal() +
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labs(x = "nGFP", y = "nRFP") +
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scale_x_logicle() +
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scale_y_logicle()
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b_data_pos_raw
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#ggsave("./output/Ca-Both_normalized_red_positive_d040225.png", width = 7, height = 4)
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ggsave("./output/Ca-Both_normalized_red_positive_d040225.png", width = 7, height = 4)
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```
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@@ -553,7 +553,7 @@ b_data_pos <- dplyr::filter(norm_data, Treatment == "Both") %>%
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fill = NA, color = "red", size = 1.2) +
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geom_text(data = b_pct,
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aes(x = 10^3.5, y = 10^4.5, label = paste0(percentage_inside, "%")),
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color = "black", size = 4, fontface = "bold", hjust = 1.2) +
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color = "black", size = 4, fontface = "bold") +
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facet_grid(rows = vars(H2O2_conc), cols = vars(Date)) +
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theme_minimal() +
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labs(x = "BL1.H", y = "BL3.H") +
@@ -574,7 +574,7 @@ b_data_pos_raw <- dplyr::filter(norm_data, Treatment == "Both") %>%
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fill = NA, color = "red", size = 1.2) +
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geom_text(data = b_pct,
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aes(x = 10^3.5, y = 10^4.5, label = paste0(percentage_inside, "%")),
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color = "black", size = 4, fontface = "bold", hjust = 1.2) +
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color = "black", size = 4, fontface = "bold") +
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facet_grid(rows = vars(H2O2_conc), cols = vars(Date)) +
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theme_minimal() +
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labs(x = "nGFP", y = "nRFP") +

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