The code you provided has some logical errors and incorrect assumptions about the data. Here is a corrected version of the code: # Create a sample dataset x <- data.frame(Study_number = c(1, 1, 2, 2, 3), Vessel = c("V1", "V1", "V2", "V2", "V3"), Severity = c(0, 1, 1, 0, 1)) x$Overall_severe_disease <- NA # Apply the first condition x$Overall_severdisease <- ifelse(x$Vessel == "V1" & x$Severity == 1, 1, 0) sum(x$Overall_severdisease) # Apply the second condition x$Overall_severdisease <- ifelse(x$Vessel == "V2" & x$Severity == 1, 1, x$Overall_severdisease) sum(x$Overall_severdisease) # Apply the third condition x$Overall_severdisease <- ifelse(x$Vessel == "V3" & x$Severity == 1, 1, ifelse(x$Vessel == "V2", 1, ifelse(x$Vessel == "V1" & x$Severity == 1, 1, 0)))) sum(x$Overall_severdisease) # Apply the fourth condition x$Overall_severdisease <- ifelse(sum(x$Severity) >= 3, 1, ifelse(x$Vessel == "V2", 1, ifelse(x$Vessel == "V1" & x$Severity == 1, 1, 0)))) sum(x$Overall_severdisease) # Apply the fifth condition x$Overall_severdisease <- ifelse(sum(x$Overall_severdisease) >= 1, "Yes", "No") length(unique(x$Study_number[x$Overall_severdiseace == "Yes"])) The main issue with your original code is that you were using ddply() incorrectly.

I can help you with that. The coord_flip() function in ggplot2 is used to flip the plot, but it only affects the aspect ratio of the plot. It doesn’t automatically adjust the position of faceted plots. In your case, when you use facet_grid(~dept, switch = "x", scales = "free", space = "free"), the facet categories are placed on the x-axis by default. When you add coord_flip(), it flips the plot horizontally, but it still keeps the facet categories on the x-axis.

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