diff --git a/.gitignore b/.gitignore
new file mode 100644
index 0000000..5b6a065
--- /dev/null
+++ b/.gitignore
@@ -0,0 +1,4 @@
+.Rproj.user
+.Rhistory
+.RData
+.Ruserdata
diff --git a/app.R b/app.R
index ea7f1b6..45f14b1 100644
--- a/app.R
+++ b/app.R
@@ -2164,7 +2164,8 @@ server <- function(input, output, session) {
     
     # tab <- sim2()
     if (is.character(tab)) stop(tab)
-    browser()  
+    #browser() 
+    log_conc <- tab$log_dose
     noDilSer = (ncol(tab)-1)/2
     noDil <- nrow(tab)
     Conctab <- perConcTab(tab, noDilSer) 
@@ -2173,11 +2174,11 @@ server <- function(input, output, session) {
     slopeSt <- slopeTe <- matrix(NA, nrow=noDil-2,ncol=2)
     for (i in 1:(noDil-2)) {
       avs <- Conctab[noDilSer+1,]
-      threes <- data.frame(lnC=log(Conc[i:(i+2)]), resp=avs[i:(i+2)])
+      threes <- data.frame(lnC=log_conc[i:(i+2)], resp=avs[i:(i+2)])
       lm3St <- lm(resp ~ lnC, data=threes)
       slopeSt[i,] <- lm3St$coefficients
       avt <- Conctab[noDilSer*2+4,]
-      threet <- data.frame(lnC=log(Conc[i:(i+2)]), resp=avt[i:(i+2)])
+      threet <- data.frame(lnC=log_conc[i:(i+2)], resp=avt[i:(i+2)])
       lm3Te <- lm(resp ~ lnC, data=threet)
       slopeTe[i,] <- lm3Te$coefficients
     }
@@ -2185,9 +2186,9 @@ server <- function(input, output, session) {
     indS <- which(abs(slopeSt[,2]) == max(abs(slopeSt[,2])))
     indT <- which(abs(slopeTe[,2]) == max(abs(slopeTe[,2])))
 
-    pl_ <- slopeSt[indS,1]+slopeSt[indS,2]*log(Conc)
-    pl_T <- slopeTe[indT,1]+slopeTe[indT,2]*log(Conc)
-    pl_df <- data.frame(lnC=log(Conc), plotS=pl_, plotT=pl_T)
+    pl_ <- slopeSt[indS,1]+slopeSt[indS,2]*log_conc
+    pl_T <- slopeTe[indT,1]+slopeTe[indT,2]*log_conc
+    pl_df <- data.frame(lnC=log_conc, plotS=pl_, plotT=pl_T)
 
     all_l <- melt(data.frame(tab), id.vars="log_dose",variable.name="replname",value.name="readout")
     isRef <- rep(c(1,0), 1,each=nrow(all_l)/2)
@@ -2240,9 +2241,9 @@ server <- function(input, output, session) {
 # fit intercept for test and ref and common slope
     
 
-    pl_restS <- sum_mLin$coefficients[1,1] + sum_mLin$coefficients[2,1]*log(Conc)
-    pl_restT <- sum_mLin$coefficients[1,1] + sum_mLin$coefficients[3,1] + sum_mLin$coefficients[2,1]*log(Conc)
-    pl_rest <- data.frame(lnC=log(Conc), plotS=pl_restS, plotT=pl_restT)
+    pl_restS <- sum_mLin$coefficients[1,1] + sum_mLin$coefficients[2,1]*log_conc
+    pl_restT <- sum_mLin$coefficients[1,1] + sum_mLin$coefficients[3,1] + sum_mLin$coefficients[2,1]*log_conc
+    pl_rest <- data.frame(lnC=log_conc, plotS=pl_restS, plotT=pl_restT)
 
     pr2 <- p + geom_line(data=pl_rest,aes(x=lnC,y=plotS),color="#4545BA",
                          inherit.aes = F) +
@@ -2285,9 +2286,9 @@ server <- function(input, output, session) {
     indS <- which(abs(slopeSt[,2]) == max(abs(slopeSt[,2])))
     indT <- which(abs(slopeTe[,2]) == max(abs(slopeTe[,2])))
     
-    pl_ <- slopeSt[indS,1]+slopeSt[indS,2]*log(Conc)
-    pl_T <- slopeTe[indT,1]+slopeTe[indT,2]*log(Conc)
-    pl_df <- data.frame(lnC=log(Conc), plotS=pl_, plotT=pl_T)
+    pl_ <- slopeSt[indS,1]+slopeSt[indS,2]*log_conc
+    pl_T <- slopeTe[indT,1]+slopeTe[indT,2]*log_conc
+    pl_df <- data.frame(lnC=log_conc, plotS=pl_, plotT=pl_T)
     
     all_l <- melt(data.frame(tab), id.vars="log_dose",variable.name="replname",value.name="readout")
     isRef <- rep(c(1,0), 1,each=nrow(all_l)/2)
@@ -2338,9 +2339,9 @@ server <- function(input, output, session) {
     # alternativ: modAB <- lm(readout ~ log_dose+isSample, circle)
     sum_mLin <- summary(mLin)
     
-    pl_restS <- sum_mLin$coefficients[1,1] + sum_mLin$coefficients[2,1]*log(Conc)
-    pl_restT <- sum_mLin$coefficients[1,1] + sum_mLin$coefficients[3,1] + sum_mLin$coefficients[2,1]*log(Conc)
-    pl_rest <- data.frame(lnC=log(Conc), plotS=pl_restS, plotT=pl_restT)
+    pl_restS <- sum_mLin$coefficients[1,1] + sum_mLin$coefficients[2,1]*log_conc
+    pl_restT <- sum_mLin$coefficients[1,1] + sum_mLin$coefficients[3,1] + sum_mLin$coefficients[2,1]*log_conc
+    pl_rest <- data.frame(lnC=log_conc, plotS=pl_restS, plotT=pl_restT)
     
     pr2 <- p + geom_line(data=pl_rest,aes(x=lnC,y=plotS),color="blue",
                          inherit.aes = F) +