**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*, **manipulate data in r datacamp** - *interactive course data manipulation in r with dplyr master techniques for data manipulation using the select mutate filter arrange and summarise functions in dplyr*, **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 here i will provide a basic overview of some of the most useful functions contained in the package*, **interactive and dynamic graphics for data analysis with r** - *this richly illustrated book describes the use of interactive and dynamic graphics as part of multidimensional data analysis chapters include clustering supervised classification and working with missing values*, **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*, **merge join subset data in r datacamp** - *interactive course data analysis in r the data table way master core concepts in data manipulation such as subsetting updating indexing and joining your data using data table*, **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 frame objects in r via r in action r statistics** - *the followings introductory post is intended for new users of r it deals with r data frames what they are and how to create view and update them this is a guest article by dr robert i kabacoff the founder of one of the first online r tutorials websites quick r kabacoff has recently*, **aggregate data in r using data table rprogramming net** - *how to aggregate data in r using data table easily calculate the average sum percent or any other function over any number of groups in r with examples*, **about this guide learn js data** - *about this guide this guide teaches the basics of manipulating data using javascript in the browser or in node js specifically these tasks are geared around preparing data for further analysis and visualization*, **how to extract data from a pdf file with r r bloggers** - *in this post taken from the book r data mining by andrea cirillo we ll be looking at how to scrape pdf files using r it s a relatively straightforward way to look at text mining but it can be challenging if you don t know exactly what you re doing*, **learning path on r step by step guide to learn data** - *learning path on r provides a step by step guide to become a data scientist using r the path includes exercises tutorials best practices*, **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*, **read excel files from r milanor** - *copy and paste from excel to r this is a fast solutions but it has one main drawbacks it requires to open excel file select data and copy by the way this is the best compromise when you re in a hurry*, **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 that is a misuse of statistics occurs when a statistical argument asserts a falsehood in some cases the misuse may be accidental in others it is purposeful and for the gain of the perpetrator*, **instant r creating a scree plot in r** - *how to create a scree plot in r scree plot a scree plot displays the proportion of the total variation in a dataset that is explained by each of the components in a principle component analysis*, **exam 77 727 excel 2016 core data analysis manipulation** - *register for exam 77 727 and view official preparation materials to get hands on experience with excel 2016 core data analysis manipulation and presentation*