Package haven. April 9, 2015
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1 Version Title Import SPSS, Stata and SAS Files Package haven April 9, 2015 Import foreign statistical formats into R via the embedded ReadStat C library ( Package includes preliminary support for writing Stata and SPSS formats. License MIT + file LICENSE Depends R (>= 3.1.0) Suggests dplyr, testthat, knitr LinkingTo Rcpp, BH Imports Rcpp (>= ) LazyData true URL BugReports VignetteBuilder knitr Author Hadley Wickham [aut, cre], Evan Miller [aut, cph] (Author of included ReadStat code), RStudio [cph] Maintainer Hadley Wickham <hadley@rstudio.com> NeedsCompilation yes Repository CRAN Date/Publication :35:23 R topics documented: as_factor hms labelled read_dta
2 2 hms read_sas read_spss zap_empty Inde 7 as_factor Convert input to a factor. The base function as.factor() is not a generic, but this variant is. Methods are provided for factors, character vectors and labelled vectors. as_factor(,...) Object to coerce to a factor.... Other arguments passed down to method. hms Hours, minutes, seconds. A "time" variable for R, recording the number of seconds since midnight. hms() An integer vector hms(100) hms(3666)
3 labelled 3 labelled Create a labelled vector. A labelled vector is a common data structure in other statistical environments. This class makes it possible to import such labelled vectors in to without loss of fidelity. This class provides few methods, as I epect you ll coerce to a standard R class (e.g. a factor) soon after importing. labelled(, labels) ## S3 method for class labelled as_factor(, levels = c("labels", "values"), ordered = FALSE,...) zap_labels() labels levels ordered... Ignored A vector to label. Must be either numeric (integer or double) or character. A named vector. The vector should be the same type as. Unlike factors, labels don t need to be ehaustive: only a fraction of the values might be labelled. When coercing a labelled character vector to a factor, you can choose whether to use the labels or the values as the factor levels. If TRUE for ordinal factors, FALSE (the default) for nominal factors. s1 <- labelled(c("m", "M", "F"), c(male = "M", Female = "F")) s2 <- labelled(c(1, 1, 2), c(male = 1, Female = 2)) # Unfortunately it s not possible to make as.factor work for labelled objects # so instead use as_factor. This works for all types of labelled vectors. as_factor(s1) as_factor(s1, labels = "values") as_factor(s2) # Often when you have a partially labelled numeric vector, labelled values # are special types of missing. Use XXX to replace labels with missing # values <- labelled(c(1, 2, 1, 2, 10, 9), c(unknown = 9, Refused = 10)) zap_labels()
4 4 read_sas read_dta Read and write Stata DTA files. Currently haven can read and write logical, integer, numeric, character and factors. See labelled for how labelled variables in Stata are handled in R. read_dta(path) read_stata(path) write_dta(data, path) path data Path to data. When reading data, if the path is a URL, the file will be first downloaded to a temporary location before reading. Data frame to write. A data frame with additional "tbl_df" and "tbl" classes, which improve printing if dplyr is loaded. Variable labels are stored in the "label" attribute of each variable. It is not printed on the console, but the RStudio viewer will show it. tmp <- tempfile(fileet = ".dta") write_dta(mtcars, tmp) read_dta(tmp) read_stata(tmp) read_sas Read SAS files. This supports both b7dat files and the accompanying b7cat files that are SAS s equivalent of factor labels. read_sas(b7dat, b7cat = NULL)
5 read_spss 5 b7dat,b7cat Path to data and catalog files. If the path is a URL, the file will be first download to a temporary location before reading. A data frame with additional "tbl_df" and "tbl" classes, which improve printing if dplyr is loaded. Variable labels are stored in the "label" attribute of each variable. It is not printed on the console, but the RStudio viewer will show it. read_sas(" read_spss Read SPSS (POR and SAV) files. Write SAV files. Currently haven can read and write logical, integer, numeric, character and factors. See labelled for how labelled variables in Stata are handled in R. read_spss is an alias for read_sav. read_por(path) read_sav(path) write_sav(data, path) read_spss(path) path data Path to data. When reading data, if the path is a URL, the file will be first downloaded to a temporary location before reading. Data frame to write. A data frame with additional "tbl_df" and "tbl" classes, which improve printing if dplyr is loaded. Variable labels are stored in the "label" attribute of each variable. It is not printed on the console, but the RStudio viewer will show it.
6 6 zap_empty tmp <- tempfile(fileet = ".sav") write_sav(mtcars, tmp) read_sav(tmp) zap_empty Convert empty strings into missing values. Convert empty strings into missing values. zap_empty() A character vector A character vector with empty strings replaced by missing values. <- c("a", "", "c") zap_empty()
7 Inde as_factor, 2 as_factor.labelled (labelled), 3 factor, 3 hms, 2 labelled, 3, 4, 5 read_dta, 4 read_por (read_spss), 5 read_sas, 4 read_sav (read_spss), 5 read_spss, 5 read_stata (read_dta), 4 write_dta (read_dta), 4 write_sav (read_spss), 5 zap_empty, 6 zap_labels (labelled), 3 7
Package haven. July 9, 2017
Version 1.1.0 Package haven July 9, 2017 Title Import and Eport 'SPSS', 'Stata' and 'SAS' Files Import foreign statistical formats into R via the embedded 'ReadStat' C library, .
Package haven. February 19, 2019
Package haven February 19, 2019 Title Import and Eport 'SPSS', 'Stata' and 'SAS' Files Version 2.1.0 Import foreign statistical formats into R via the embedded 'ReadStat' C library, .
Package labelled. December 19, 2017
Package labelled December 19, 2017 Type Package Title Manipulating Labelled Data Version 1.0.1 Date 2017-12-19 Maintainer Joseph Larmarange Work with labelled data imported from
Package ECctmc. May 1, 2018
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