R replace values in data frame

    • [PDF File]Analysis of Covariance (ANCOVA) in R (draft)

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      Analysis of Covariance (ANCOVA) in R (draft) Francis Huang August 13th, 2014 Introduction This short guide shows how to use our SPSS class example and get the same results in R. We introduce the new variable– the covariate or the concomitant variable. We would like to control or account for

    • [PDF File]Work with strings with stringr : : CHEAT SHEET

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      data frame, list, or environment to create a string from strings and {expressions} to evaluate. glue::glue_data(mtcars, ... A STRING A STRING a string Mutate Strings str_sub()

    • [PDF File]Package ‘groupdata2’ - cran.r-project.org

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      N.B. If ‘data‘ is a grouped data.frame, the function is applied group-wise and the output is a list of vectors. The names are based on the group indices (see dplyr::group_indices()). col Name of column to find values that differ in. Used when ‘data‘is data.frame. (Character) threshold Threshold to check difference to previous value to.

    • [PDF File]Data Import Tidy Data Read functions Parsing data types

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      • Revert to data frame with as.data.frame() (required for some older packages) Tibbles - an enhanced data frame Handle Missing Values Reshape Data - change the layout of values in a table Tidy data is a way to organize tabular data. It provides a consistent data structure across packages. A B C A * B -> C A B C * Each observation, or case, is ...

    • [PDF File]pdp: An R Package for Constructing Partial Dependence Plots

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      partial returns a data frame with an additional class that is recognized by the plotPartial function. The columns of the data frame are labeled in the same order as the features supplied to pred.var, and the last column is labeled yhat1 and contains the values of the partial dependence function f¯ s (zs). If

    • Data Bulletin PowerPact™ R-Frame Circuit Breaker Data Sheets

      PowerPact™ R-Frame Circuit Breaker Data Sheets PowerPact R-Frame Continuous Current Rating Altitude Derating Values Circuit breakers are suitable for use at altitudes up to 13,100 ft. (4000 m). For altitudes higher than 6560 ft. (2000 m), circuit breakers must be derated as shown. Altitude Derating Values Per ANSI C37.20.1 Altitude 8,500 ft ...

    • [PDF File]An introduction to data cleaning with R

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      An Rvector is a sequence of values of the same type. All basic operations in Ract on vectors (think of the element-wise arithmetic, for example). The basic types in Rare as follows. numeric Numeric data (approximations of the real numbers,ℝ) integer Integer data (whole numbers,ℤ) factor Categorical data (simple classifications, likegender)

    • [PDF File]Examples of rep() Basics of Vectors

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      Data Frame Two dimensional container for records and variables – Typeset by FoilTEX – 1 Basics of Vectors The elements are Ordered Homogeneous type Vectors can be created within R using: c() function to catenate individual values together : the infix function to create a sequence of numbers 1:10 seq() to create more complex sequences

    • [PDF File]waterData—An R Package for Retrieval, Analysis, and ...

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      tive values, values of 0, and missing data, and in some cases remove or replace those values. Negative values, which some agencies use to represent missing data, are problematic and the cleanUp function may be used to change negative values to missing values. Streamflow values of 0 cause problems when

    • [PDF File]Exploring Data and Descriptive Statistics (using R)

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      # ‘to.data.frame’ return a data frame. # ‘use.value.labels’ Convert variables with value labels into R factors with those levels. # ‘use.missings’ logical: should information on user-defined missing values be used to set the

    • [PDF File]Big data in R - Columbia University

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      Option 3a: data table rather than data frame •data.table package –Some optimizations to data frame, but slightly different syntax brfss_dt

    • [PDF File]Working with Time Series Data in R - University of Washington

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      The core data object for holding data in R is the data.frame object. A date.frame is a rectangular data object whose columns can be of different types (e.g., numeric, character, logical, Date, etc.). The data.frame object, however, is not designed to work efficiently with time series data. In

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