Nirvana is. You are. Be enlightenment. Nirvana is not to be found in the fulfillment of endless desires, the analysis of profound thoughts, or even hours, days, or years of meditative contemplation. In fact, it is the very act of seeking to obtain happiness, peace, and enlightenment that keeps them out of reach. Nirvana in a Nutshell offers over 150 Zen meditations to help you discover what you might be doing (or not doing) in your life to sabotage your goal of reaching inner peace, your own personal paradise. Let go of the quest and become that which you truly seek and you will find your own Nirvana. Nirvana is the state of grace where there is no longer any physical suffering, mental anguish, or unanswered questions. Many assume that the only way to achieve that magical state is if they walk away from the world and enter "the spiritual path." But conflict is a part of life - any kind of life. If you allow your peace to be taken away from you by external occurrences or internal disharmony then you will never know contentment. Peace is an inner triumph. Nirvana is not known, because it has been propagated as the ultimate obtainment. It has been made a desire. But, as Siddhartha Guatama stated, "The cause of suffering is desire." Scott Shaw contends that people are looking for contentment in all the wrong places.
Japan in a Nutshell Japanese psychology tradition customs and manners
If you’re considering R for statistical computing and data visualization, this book provides a quick and practical guide to just about everything you can do with the open source R language and software environment. You’ll learn how to write R functions and use R packages to help you prepare, visualize, and analyze data. Author Joseph Adler illustrates each process with a wealth of examples from medicine, business, and sports. Updated for R 2.14 and 2.15, this second edition includes new and expanded chapters on R performance, the ggplot2 data visualization package, and parallel R computing with Hadoop. Get started quickly with an R tutorial and hundreds of examples Explore R syntax, objects, and other language details Find thousands of user-contributed R packages online, including Bioconductor Learn how to use R to prepare data for analysis Visualize your data with R’s graphics, lattice, and ggplot2 packages Use R to calculate statistical fests, fit models, and compute probability distributions Speed up intensive computations by writing parallel R programs for Hadoop Get a complete desktop reference to R