fixed a bug in rsem-plot-model

diff --git a/rsem-plot-model b/rsem-plot-model
index 7466eea2398be524e3f073b1ac7d914b3c6a8d83..c15a75f230c018da6ffc0cde6171f6d1f6fa0686 100755 (executable)
--- a/rsem-plot-model
+++ b/rsem-plot-model
@@ -82,10 +82,10 @@ if (model_type == 1 || model_type == 3) {
 
     if (sum(c(vecA, vecC, vecG, vecT)) < 1e-8) next
     x <- c(x, (i - 1))
-    peA <- c(peA, ifelse(sum(vecA) < 1e-8, NA, -10 * log(1.0 - vecA[1])))
-    peC <- c(peC, ifelse(sum(vecC) < 1e-8, NA, -10 * log(1.0 - vecC[2])))
-    peG <- c(peG, ifelse(sum(vecG) < 1e-8, NA, -10 * log(1.0 - vecG[3])))
-    peT <- c(peT, ifelse(sum(vecT) < 1e-8, NA, -10 * log(1.0 - vecT[4])))
+    peA <- c(peA, ifelse(sum(vecA) < 1e-8, NA, -10 * log10(1.0 - vecA[1])))
+    peC <- c(peC, ifelse(sum(vecC) < 1e-8, NA, -10 * log10(1.0 - vecC[2])))
+    peG <- c(peG, ifelse(sum(vecG) < 1e-8, NA, -10 * log10(1.0 - vecG[3])))
+    peT <- c(peT, ifelse(sum(vecT) < 1e-8, NA, -10 * log10(1.0 - vecT[4])))
   }
 
   matplot(x, cbind(peA, peC, peG, peT), type = "b", lty = 1:4, pch = 0:3, col = 1:4, main = "Phred Quality Score vs. Observed Quality", xlab = "Quality Score", ylab = "Observed Quality")