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Hello I'm doing some experiments with the various histogram functions and I have a two questions about the "prob" option and binning. First, here's a simple plot of my data using the default hist() function: > hist(data[,1], prob = TRUE, xlim = c(0, 35)) http://go.sneakymustard.com/tmp/hist.jpg My first question is regarding the resulting plot from hist.scott() and hist.FD(), from the MASS package. I'm setting prob to TRUE in these functions, but as it can be seen in the images below, the value for the first bar of the histogram is well above 1.0. Shouldn't the t...

Hello I'm using authentication via SQL, and I'm storing the full mail_location in the database. This is a long string because we're using multiple partitions and hashing to create this path. It looks like this: # doveadm user andre=sneakymustard.com userdb: andre=sneakymustard.com password : $1$ixW87UeD$fLhORaJS0c5wNFmWqfJdI1 mail : mdbox:/var/spool/imap/partition7/11/andre=sneakymustard.com:INDEX=/var/lib/imap/user/11/andre=sneakymustard.com quota_rule: *:bytes=1024M Depending on the user's email, this string can be even...

...matplot(turns, distances, type = "l", log = "y", lty = "solid", ylab = "", xlab = "Time steps", col = c("black")) The values for the 'distances' vector are always between 0 and 1. The result can be seen at http://sneakymustard.com/tmp/plot.jpg As you can see, the default y axis labels are not very nice, as it uses irregular intervals. I tried using variations of axis(2, at = pretty(c(0, ceiling(max(distances))), 5)) or yaxp = c(round(mind, 2), round(maxd, 2), -4) in the matplot() call. Is there anything else I...

.../plain Hello I'm doing some experiments with the various histogram functions and I have a two questions about the "prob" option and binning. First, here's a simple plot of my data using the default hist() function: > hist(data[,1], prob = TRUE, xlim = c(0, 35)) http://go.sneakymustard.com/tmp/hist.jpg My first question is regarding the resulting plot from hist.scott() and hist.FD(), from the MASS package. I'm setting prob to TRUE in these functions, but as it can be seen in the images below, the value for the first bar of the histogram is well above 1.0. Shouldn't the t...