Who says statistics have to be a nightmare? Also in this issue: After the Deadline takes care of language issues.
Projects on the Move
Even hardened nerds are often over-challenged by the less than intuitive field of statistics. Besides the theory, you need to know how to use the software that converts all the theory into a practical application.
The R environment [1] can be a big help on the software side. This free implementation of the S statistics programming language was launched in 1992. Initially, you will not be able to do much with R and its spartan command-line tools until you learn the language.
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