lot.ly).
write.csv(case_dat, file = "expanded_case_weights.csv")
# Boxplot it
boxplot(case_dat, varwidth = TRUE, notch = TRUE, horizontal = TRUE,
main = "Case Weights", xlab = "Weight (grains)",
ylab = "Batch", las = 1, names = c("LC09"
7.3,27,0,0,0
177.4,43,0,0,0
177.5,40,0,0,0
177.6,56,0,0,0
177.7,41,0,0,0
177.8,58,0,0,0
177.9,55,0,0,0
178.0,48,0,0,0
178.1,37,0,0,0
178.2,23,0,0,0
178.3,30,0,0,0
178.4,14,0,0,0
178.5,16,0,0,0
178.6,9,0,0,0
178.7,11,0,0,0
178.8,9,0,0,0
178.9,7,0,0,0
Thanks,
Monte
--
Shiny! Let's be bad
On 10/01/2014 05:48 PM, Jason Eyerly wrote:
Hey Folks, I’m hoping to get a general consenus on a good book for
someone with no prior experience in R that is new to data science and
statistical analysis. So far, I’ve been recommended to read “Software
For Data Analysis: Programming With R (Statist
Another +1 here for the ThinkPad series... they seem to run Linux
distros about as well as most, and are pretty robustly built. I picked
up a Lenovo ThinkPad T530 last fall with Windows 7 Pro on it, and have
it currently set up to dual-boot into openSUSE 12.3. Ubuntu 13.04
probably ran the sm
On 11/24/2013 12:04 PM, Rich Shepard wrote:
On Sun, 24 Nov 2013, Yihui Xie wrote:
Mailing lists are good for a smaller group of people, and especially
good when more focused on discussions on development (including bug
reports). The better place for questions is a web forum.
I disagree. Ma
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