Why not?

amazing.R

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+#Create vector from 1 to 10
+num <- c(seq(1:10))
+#Create empty vector named 'amazing'
+amazing <-c()
+#Iterate over all numbers from 1 to the length of the vector (10)
+for (i in 1:length(num))
+{
+  #If the number is greater or equal to 1 AND ALSO (&) smaller or equal to 3...
+  if(i >= 1 & i <=3)
+  #    ^ this bit is important
+  {
+    cat(i, "is low\n")
+    #Add "low" to list called 'Amazing'
+    amazing[i] <- "low"
+    #Once this condition is satisfied, move on to next item in loop (if on 1, move on to 2, etc)
+    next
+  }
+  #If the number is greater or equal to 3 AND ALSO (&) smaller or equal to 6...
+  else if(i > 3 & i <=6)
+  #             ^ this is like two IF's
+  {
+    cat(i, "is medium\n")
+    amazing[i] <- "medium"
+    next
+  }
+  
+  else if(i > 6 & i <=10)
+  #                 ^ this bit is also important
+    cat(i, "is high\n")
+    amazing[i] <- "high"
+    next
+}
+amazing
+sleep["Amazing"] <- amazing

mean.R

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+#Create two vectors with random, normal distribution numbers: one with even, and another with odd number of elements.
+bunch_of_nums_even <- rnorm(100)
+bunch_of_nums_odd <-  rnorm(101)
+#Sort one of the vectors according to number size
+sorted_nums <- sort(bunch_of_nums_even) #< I used even for this example - switch to odd to test that as well. 
+num_length <- length(sorted_nums)
+#If the length of the sorted vector is divisble by 2...
+if ((num_length %% 2) == 0) {
+  print("Vector is even")
+  #... create a vector of the 2 middle elements...
+  num_medians <- c((num_length/2),((num_length/2)+1))
+  #... and calculate their average; that is the mean.
+  num_median <- mean(sorted_nums[num_medians])
+  #                  ^ This is a vector of the 2 middle spots in our even vector
+} else #< If the length of the sorted vector is odd...
+{
+  print("Vector is odd")
+  #Get the index of the median number by substracting 1 from the total count, divide by half and add one again.
+  num_median_index <- (((num_length + 1)/2)) #<There's probably a better way to do this.
+  #The median is the number in the index we figured out earlier; pull it from the sorted vector.
+  num_median <- sorted_nums[num_median_index]
+}
+cat("Median is:", num_median)