This tutorial introduces datasets — “data frames” in R. Datasets can be thought of as a collection of vectors stored as columns. We’ll talk about how to create datasets and how to read them from file. We’ll also talk more conceptually about how datasets should be structured.
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This vignette is aimed at those who are already familiar with creating and subsetting data.frame in R. We aim for this quick introduction to be readable in 10 minutes, brie y covering a few features: 1.Keys; 2.Fast Grouping; and 3.Fast ordered join. Creation Recall that we create a data.frame using the function data.frame():
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In the following example a data frame is defined that has the dates stored as strings. If you read the data in from a csv file this is how R will keep track of the data. Note that in this context the strings are assumed to represent ordinal data, and R will assume that the data field is a set of factors.
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A data frame also has rows. And in our lingo, those are called observations. They're lists and they must contain an equal number of columns. R data types: Data frame. 6m 44s. Data frames: Order and merge. 8m 10s. for loop. 4m 54s. The 100th episode.
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I have "n" data frames to merge. I would like to create a process to do it automatically. I 've tried to do in a loop: df_merge<-first_dataf. The problem si that next_df is a character and I need that be a data frames that i have loaded in R. Thank you!!
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For loops are not as important in R as they are in other languages because R is a functional programming language. For example, you might have a list of data frames, and you want to reduce to a single data frame by joining the elements together