**data manipulation with r use r phil spector** - *the r language provides a rich environment for working with data especially data to be used for statistical modeling or graphics coupled with the large variety of easily available packages it allows access to both well established and experimental statistical techniques*, **data manipulation with dplyr r bloggers** - *dplyr is a package for data manipulation written and maintained by hadley wickham it provides some great easy to use functions that are very handy when performing exploratory data analysis and manipulation*, **merge join subset data in r datacamp** - *matt dowle is the main author of the data table package matt has worked for some of the world s largest financial organizations and has been programming in r for over a decade arun is one of the main contributors to the data table package he started using r in late 2011 and works as a data*, **data wrangling with r use r bradley c boehmke ph d** - *this guide for practicing statisticians data scientists and r users and programmers will teach the essentials of preprocessing data leveraging the r programming language to easily and quickly turn noisy data into usable pieces of information*, **recode data in r with r recode examples rprogramming net** - *how to recode data in r with numerous examples recode data in r using both base r and the recode command from the package car a simple easy explanation*, **python how to do basic data manipulation like in r** - *i have been working with r for several years r is very strong in data manipulation i m learning python and i would like to know how to manipulate data using python*, **sort data in r using r order rprogramming net** - *this page will show you how to sort a data frame in r using the order command sort your data by one or more fields from low to high or high to low r order is used for data frames*, **a complete tutorial to learn data science in r from scratch** - *this is a free tutorial to learn r for beginners which covers predictive modeling data manipulation data exploration and various algorithms*, **r data import export** - *1 1 imports the easiest form of data to import into r is a simple text file and this will often be acceptable for problems of small or medium scale*, **data analysis using r and the r commander rcmdr** - *chapter 1 r and the rcmdr r provides a powerful and comprehensive system for analysing data and whenusedinconjunctionwithther commander agraphicaluserinterface*, **u s regulator demands trading data from bitcoin exchanges** - *government investigators have demanded that several bitcoin exchanges hand over comprehensive trading data to assist a probe into whether manipulation is distorting prices in markets linked to the cryptocurrency*, **r data types vectors matrices lists and data frames** - *1 r data types this r tutorial is all about r data types first of all we will discuss the introduction of data types in r r vectors r matrices r lists r dataframe datasets*, **programming with big data in r wikipedia** - *programming with big data in r pbdr is a series of r packages and an environment for statistical computing with big data by using high performance statistical computation*, **tutorials for learning r r bloggers** - *r packages are the fuel that drive the growth and popularity of r r packages are bundles of code data documentation and tests that are easy to share with others before you can use a package you will first have to insta*, **learning path on r step by step guide to learn data** - *home learning paths data science business analytics business intelligence and big data learning path on r step by step guide to learn data science on r*, **10 r packages every data scientist should know about** - *the yhat blog lists 10 r packages they wish they d known about earlier drew conway calls them 10 reasons to always start your analysis in r they re all very useful r packages that every data scientist should be aware of*, **r exercises start here to learn r** - *ready set go on r exercises you will find more than 2 500 r exercises we ve bundled them into exercise sets where each set covers a specific concept or function an exercise set typically contains about 10 exercises progressing from easy to somewhat more difficult*, **data science courses r python analysis tutorials datacamp** - *datacamp offers interactive r and python courses on topics in data science statistics and machine learning learn from a team of expert teachers in the comfort of your browser with video lessons and fun coding challenges*, **how to reshape data in r tidyr vs reshape2 milanor** - *data tidying data tidying is the operation of transforming data into a clear and simple form that makes it easy to work with tidy data represent the information from a dataset as data frames where each row is an observation and each column contains the values of a variable i e an attribute of what we are observing*, **misuse of statistics wikipedia** - *statistics are supposed to make something easier to understand but when used in a misleading fashion can trick the casual observer into believing something other than what the data shows*, **instant r an introduction to r for statistical analysis** - *one sample t test a t test is used to test hypotheses about the mean value of a population from which a sample is drawn a t test is suitable if the data is believed to be drawn from a normal distribution or if the sample size is large*, **r for data science** - *14 1 introduction this chapter introduces you to string manipulation in r you ll learn the basics of how strings work and how to create them by hand but the focus of this chapter will be on regular expressions or regexps for short*