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In R, these values can be represented as a column vector (as a data set, these values would be arranged in one column for the variable age, with 5 rows). For example, suppose we have a sample of 5 infants with ages (in months) of 6, 10, 12, 7, 15. The 'assign operator' in R is used to assign a name to an object.
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The methods in this handout are not the only way to perform these analyses through R, and you should feel free to experiment and explore.ġ.2 The assign operator and inputting a data vector into R
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Analyses are performed through a series of commands the user enters a command and R responds, the user then enters the next command and R responds. When you start R, a blank window appears with a '>', which is the ready prompt, on the first line of the window. csv files can then be read into R for analysis. Excel can save files in 'comma delimited format', or. Data can be entered and edited using Excel. Data sets are arranged with each column representing a variable, and each row representing a subject a data set with 5 variables recorded on 50 subjects would be represented in an Excel file with 5 columns and 50 rows. Results from analyses can also be saved as objects in R, allowing the user to manipulate results or use the results in further analyses.ĭata can be directly entered into R, but we will usually use MS Excel to create a data set. For our basic applications, results of an analysis are displayed on the screen. For example, if 'cholesterol' was an object representing cholesterol levels from a sample, the function 'mean(cholesterol)' would calculate the mean cholesterol for the sample. Functions in R perform calculations on objects. For our basic applications, matrices representing data sets (where columns represent different variables and rows represent different subjects) and column vectors representing variables (one value for each subject in a sample) are objects in R. R is related to the S statistical language which is commercially available as S-PLUS.
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Check that you download the correct version of R for your operating system (for example, XP for the PC, Tiger or earlier versions of OSX for Macs).
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R can be downloaded from the Internet site of the Comprehensive R Archive Network (CRAN) (). R is a freely distributed software package for statistical analysis and graphics, developed and managed by the R Development Core Team.
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Milton, PhD, Clinical Assistant Professor, Biostatisticsīoston University School of Public Health Basic Statistical Analysis Using the R Statistical Package Introduction A separate sheet in an Excel workbook can be used for each stock.Basic Statistical Analysis Using the R Statistical Package
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The figure below shows an example of a simple spreadsheet that tracks one investment's data, including date, entry, size (how many shares), closing prices for the dates specified, the difference between the closing price and the entry price, the percentage return, profit and loss for each periodic closing price, and the standard deviation. The first step is to decide what data you would like to include.
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