R sample dataframe
[PDF File] Data Science in Spark with Sparklyr : : CHEAT SHEET
http://5y1.org/file/13173/data-science-in-spark-with-sparklyr-cheat-sheet.pdf
Intro. sparklyr is an R interface for Apache SparkTM, it provides a complete dplyr backend and the option to query directly using Spark SQL. statement. With sparklyr, you can orchestrate distributed machine learning using either Spark’s MLlib or H2O Sparkling Water. Starting with version 1.044, RStudio Desktop, Server and Pro include ...
[PDF File] nplyr: A Grammar of Nested Data Manipulation - The Comprehensive R ...
http://5y1.org/file/13173/nplyr-a-grammar-of-nested-data-manipulation-the-comprehensive-r.pdf
Rather than unnesting, then manipulating a data frame, 'nplyr' allows users to manipulate each nested data frame directly. 'nplyr' is a wrapper for 'dplyr' functions that provide tools for common data manipulation steps: filtering rows, selecting columns, summarising grouped data, among others.
[PDF File] Data Wrangling - A foundation for wrangling in R - RStudio
http://5y1.org/file/13173/data-wrangling-a-foundation-for-wrangling-in-r-rstudio.pdf
Tidy Data - A foundation for wrangling in R Tidy data complements R’s vectorized operations. R will automatically preserve observations as you manipulate variables. No other format works as intuitively with R. M A F M * A * tidyr::gather(cases, "year", "n", 2:4) Gather columns into rows. tidyr::unite(data, col, ..., sep) Unite several columns ...
[PDF File] An Example of ANOVA using R - University of Wisconsin–Madison
http://5y1.org/file/13173/an-example-of-anova-using-r-university-of-wisconsin-madison.pdf
An Example of ANOVA using R by EV Nordheim, MK Clayton & BS Yandell, November 11, 2003 In class we handed out ”An Example of ANOVA”. Below we redo the example using R. There are three groups with seven observations per group. We denote group i values by yi: > y1 = c(18.2, 20.1, 17.6, 16.8, 18.8, 19.7, 19.1)
[PDF File] Package Package - The Comprehensive R Archive Network
http://5y1.org/file/13173/package-package-the-comprehensive-r-archive-network.pdf
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[PDF File] The R Book - Computer Science Department
http://5y1.org/file/13173/the-r-book-computer-science-department.pdf
The R Book Second Edition ... 2.13.7 Calculating time differences between the rows of a dataframe 109 2.13.8 Regression using dates and times 111 2.13.9 Summary of dates and times in R 113 ... than attach 113 2.14.2 Using attach in this book 114 2.15 Writing R functions 115 2.15.1 Arithmetic mean of a single sample 115 2.15.2 Median of a single ...
[PDF File] Package Species - The Comprehensive R Archive Network
http://5y1.org/file/13173/package-species-the-comprehensive-r-archive-network.pdf
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[PDF File] Exercises that Practice and Extend Skills with R
http://5y1.org/file/13173/exercises-that-practice-and-extend-skills-with-r.pdf
Also available are Sweave (.Rnw) files that can be processed through R to generate the LATEX files from which pdf’s for all or some subset of exercises can be generated. The LATEX files hold the R code that is included in the pdf’s, output from R, and graphics files. There is extensive use of datasets from the DAAG and DAAGxtras ...
[PDF File] pairwiseCI: Confidence Intervals for Two Sample Comparisons
http://5y1.org/file/13173/pairwiseci-confidence-intervals-for-two-sample-comparisons.pdf
The function pairwiseCI allows to calculate 2-sample confidence intervals for all-pairs and many-to-one comparisons be- tween levels of a factor. Intervals are NOT adjusted for multiple hypothesis testing per default. The function pairwiseTest allows to calculate p-values of two-sample tests for all-pairs and many- to-one comparisons between ...
[PDF File] The Average and SD in R - Carlisle Rainey
http://5y1.org/file/13173/the-average-and-sd-in-r-carlisle-rainey.pdf
Importantly, the SD that R calculates with sd() is not quite the same as the SD in the textbook.1 See Section 7 on p. 74 for more details. In short, the textbook uses the formula √ sum of squared deviations from mean number of observations. R uses the formula √ sum of squared deviations from mean number of observations - 1. We can see this ...
[PDF File] sf: Simple Features for R
http://5y1.org/file/13173/sf-simple-features-for-r.pdf
Description Support for simple features, a standardized way to encode spatial vector data. Binds to 'GDAL' for reading and writing data, to 'GEOS' for geometrical operations, and to 'PROJ' for projection conversions and datum transformations. Uses by default the 's2' package for spherical geometry operations on ellipsoidal (long/lat) coordinates.
[PDF File] Classes and Methods for Spatial Data: the sp Package
http://5y1.org/file/13173/classes-and-methods-for-spatial-data-the-sp-package.pdf
1 Introduction. The sp pacagek provides classes and methods for dealing with spatial data in R1. The spatial data structures implemented include points, lines, polygons and grids; each of them with or without attribute data. We have chosen to use S4 classes and methods style (Chambers, 1998) to allow alidationv of ob- jects created.
[PDF File] T-Tests in R To test means of one or two groups - The University …
http://5y1.org/file/13173/t-tests-in-r-to-test-means-of-one-or-two-groups-the-university.pdf
Statistics with R. The sample of American women heights had a mean of 65.00 inches (SD=4.47). A one ... To do a Paired Samples t-test, we’re going to use the same ’hidden’ dataframe sleep. In the previous example we ignored the last column. That’s because the last analysis wasn’t quite right. This dataset
[PDF File] D206 Performance Assessment revision - Ryangineer
http://5y1.org/file/13173/d206-performance-assessment-revision-ryangineer.pdf
quent useful slices of the dataframe as "df". 5. Examine potential misspellings, awkward variable naming & missing data. 6. Find outliers that may create or hide statistical significance using his-tograms. 7. Imputing records missing data with meaningful measures of central tendency (mean, 1
[PDF File] Generating .xpt files with SAS, R and Python - PharmaSUG
http://5y1.org/file/13173/generating-xpt-files-with-sas-r-and-python-pharmasug.pdf
run; 1: Define two libnames: “sasfile” for saving sas dataset and “xptile” for saving file with .xpt format. 2: create xpt file with “data step” 3: to create xpt file with “proc copy” statement. The process is straightforward as shown in figure2. Finally, the ts.xpt file is created in SAS.
[PDF File] anndata: 'anndata' for R
http://5y1.org/file/13173/anndata-anndata-for-r.pdf
Package. 'anndata' for R. 0.7.5.6. A 'reticulate' wrapper for the Python package 'anndata'. Provides a scalable way of keeping track of data and learned annotations. Used to read from and write to the h5ad file format.
[PDF File] Package Coin - The Comprehensive R Archive Network
http://5y1.org/file/13173/package-coin-the-comprehensive-r-archive-network.pdf
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[PDF File] OneSampleLogRankTest: One-Sample Log-Rank Test - The Comprehensive R ...
http://5y1.org/file/13173/onesamplelogranktest-one-sample-log-rank-test-the-comprehensive-r.pdf
Version 0.9.2 Imports magrittr, dplyr, ggplot2, survival, survminer, rlang Description The log-rank test is performed to assess the survival outcomes between two group. When there is no proper control group or obtaining such data is cumbersome, one sample log-rank test can be applied. This package performs one sample log-rank test as described ...
[PDF File] Sample Size Calculation with R - University of North Dakota
http://5y1.org/file/13173/sample-size-calculation-with-r-university-of-north-dakota.pdf
•The order will be based on the packages available in R •We will start with basic statistical tests that are easily calculated •For each test: •Introduction slide: description, example, R code, and effect size calculation •Result slide: shows R code and results for the example question •Practice: 2-3 questions to practice on your own
[PDF File] Package ‘Sentimentr’ - The Comprehensive R Archive Network
http://5y1.org/file/13173/package-sentimentr-the-comprehensive-r-archive-network.pdf
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[PDF File] RL78/G13 Serial Array Unit (UART Communication)
http://5y1.org/file/13173/rl78-g13-serial-array-unit-uart-communication.pdf
R_UART0_Callback_SendEnd UART0 transmission end processing function 5.6 Function Specifications This section describes the specifications for the functions that are used in this sample program. [Function Name ]R_ UART0_Start Synopsis UART0 operation start Header r_cg_macrodriver.h, r_cg_serial.h, and r_cg_userdefine.h
[PDF File] Import Excel Data into R Dataframe - Examples - Tutorial Kart
http://5y1.org/file/13173/import-excel-data-into-r-dataframe-examples-tutorial-kart.pdf
Reference: Read Excel File Data in R. In the above example, when we read excel data using read_excel() function, the excel data is read into a tibble. You can perform the data operations on a tibble just like a dataframe. If you would like to have the data in an R Dataframe, you can use data.frame() function as shown in the above example.
[PDF File] SeuratObject: Data Structures for Single Cell Data
http://5y1.org/file/13173/seuratobject-data-structures-for-single-cell-data.pdf
SeuratObject-package. SeuratObject: Data Structures for Single Cell Data. Description. Defines S4 classes for single-cell genomic data and associated information, such as dimensionality. reduction embeddings, nearest-neighbor graphs, and spatially-resolved coordinates. Provides data. access methods and R-native hooks to ensure the Seurat …
[PDF File] Introduction to the data.table package in R - GitHub
http://5y1.org/file/13173/introduction-to-the-data-table-package-in-r-github.pdf
We might say that R has created a 3 column table and inserted 10,000,068 rows. It took 5.981 secs, so it inserted 1,671,972 rows per second. This is normal in base R. Notice that we set stringsAsFactors=FALSE. This makes it …
[PDF File] Data Handling using Pandas -1
http://5y1.org/file/13173/data-handling-using-pandas-1.pdf
Dataframe object help a lot in keeping track of our data. 2. With a pandas dataframe, we can have different data types (float, int, string, datetime, etc) all in one place 3. Pandas has built in functionality for like easy grouping & easy joins of data, rolling windows 4. Good IO capabilities; Easily pull data from a MySQL
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