Package apastyle. March 29, 2017
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1 Type Package Title Generate APA Tables for MS Word Version 0.5 Date Author Jort de Vreeze [aut, cre] Package apastyle March 29, 2017 Maintainer Jort de Vreeze Most psychological journals require that tables in a manuscript comply to APA (American Association of Psychology standards. Creating APA tables manually is often time consuming and prone to transcription errors. This package generates tables for MS Word ('.docx' extension in APA format automatically with just a few lines of code. License GPL-3 Depends R (>= Imports ReporteRs, stats, utils Suggests testthat NeedsCompilation no RoxygenNote Repository CRAN Date/Publication :27:31 UTC R topics documented: apa.cor.matrix apa.descriptives apa.merge apa.regression apa.signif apa.table Index 9 1
2 2 apa.cor.matrix apa.cor.matrix Generic method to generate a correlation matrix with values Generic method to generate a correlation matrix with values apa.cor.matrix( =.frame(, position = "lower", sig = TRUE position sig Raw set with variables. (optional Specify whether the correlations should be displayed in the upper, or lower diagonal of the table. (optional Specify whether the significance should be displayed in a separate column. apa.cor.matrix object; a list consisting of the with correlation values smallest the smallest r value which is significant at p <.05. # Use apa.cor.matrix function apa.cor.matrix( =.frame( rnorm(100, mean = 0, sd = 1, position = "upper"
3 apa.descriptives 3 apa.descriptives Generic method to generate an APA style table with descriptives for MS Word. Generic method to generate an APA style table with descriptives for MS Word. apa.descriptives( =.frame(, variables = NULL, report = "", title = "APA Table", filename = "APA Table.docx", note = NULL, position = "lower", merge = FALSE, sig = TRUE, landscape = FALSE, = TRUE variables Raw set with variables. The variable names for in the table. report (optional Specify which descriptive statistics to report. Use a subset from c("m", "SD", "r". title filename note position merge sig landscape Details (optional Name of the table. (optional Specify the filename (including valid.docx extension. (optional Add a footnote to the bottom of the table. (optional Specify whether the correlations should be displayed in the upper, or lower diagonal of the table. (optional Set (TRUE if the mean and standard deviation columns should be merged into one column. (optional Specify whether the significance should be displayed in a separate column. (optional Set (TRUE if the table should be generated in landscape mode. (optional Set (FALSE if the table should not be d in a document. This method can automatically generate tables with descriptive statistics. It s possible to specify which descriptives should be displayed. The default setting displays all the means, standard deviations, and a correlation matrix. This can user specified changing the (report parameter. For large tables it is also possible to merge the mean and stadard deviation in one column M (SD. This can be done by setting the merge parameter to TRUE. It s also possible to make the columns of the correlation matrix smaller, by removing the significance asterisks in the table. The significance of the correlation values are highlighted in a footnote (e.g, Correlation coefficients > 0.23 are significant at p < ". This can be done by setting the sig parameter to FALSE.
4 4 apa.merge apa.descriptives object; a list consisting of table flag which indicates whther the document is d set with descriptive statistics FlexTable {ReporteRs} object # Use apa.descriptives function apa.descriptives( =.frame( rnorm(100, mean = 0, sd = 1, variables = c("column 1", "Column 2", "Column 3", "Column 4" apa.merge Generic method to merge two vectors and create a header Generic method to merge two vectors and create a header apa.merge(a = NULL, b = NULL, header = NULL a b header s in the first column. s in the second column. Vector with both column names. apa.merge object; a list consisting of header the merged the header for the merged
5 apa.regression 5 # Use apa.merge function apa.merge(a = b = header = c("m", "SD" apa.regression Generic method to generate an APA style table with regression parameters for MS Word. Generic method to generate an APA style table with regression parameters for MS Word. apa.regression(..., variables = NULL, number = "XX", title = "APA Table", filename = "APA Table.docx", note = NULL, landscape = FALSE, = TRUE, type = "wide"... Regression (i.e., lm result objects. variables The variable names for in the table. number (optional The table number in the document. title (optional Name of the table. filename (optional Specify the filename (including valid.docx extension. note (optional Add a footnote to the bottom of the table. landscape (optional Set (TRUE if the table should be generated in landscape mode. (optional Set (FALSE if the table should not be d in a document. type (optional Not implemented. apa.regression object; a list consisting of table flag which indicates whther the document is d set with regression statistics FlexTable {ReporteRs} object
6 6 apa.table apa.signif Generic method to make a footnote indicating significant values. Generic method to make a footnote indicating significant values. apa.signif( =.frame( Dataset with statistics. apa.signif object; a list consisting of signif pot {ReporteRs} object # Specify statistics example <-.frame( c("column 1", "Column 2", "Column 3", c(3.45, 5.21, 2.64, c("**", "", "***" # Use apa.descriptives function apa.signif( = example apa.table Generic method to generate an APA style table for MS Word Generic method to generate an APA style table for MS Word apa.table( =.frame(, level1.header = NULL, level1.colspan = NULL, level2.header = NULL, number = "XX", title = "APA Table", filename = "APA Table.docx", note = NULL, landscape = FALSE, = TRUE
7 apa.table 7 level1.header Dataset with statistics. The column names for the first header in the table. level1.colspan (optional The colspan for the first header column. level2.header number title filename note landscape Details (optional The column names for the second header in the table. (optional The table number in the document. (optional Name of the table. (optional Specify the filename (including valid.docx extension. (optional Add a footnote to the bottom of the table. (optional Set (TRUE if the table should be generated in landscape mode. (optional Set (FALSE if the table should not be d in a document. This method can generate tables with two headers. If two headers are required, it is necesary to specifify the colspan for the upper level (level1.colspan. If only one header is required only the header items need to be specified for level1.header, and level1.colspan and level2.header do not need be specified. This method allows users to specify a column in which either the level of significance (header: "*", or a subscript (header: "_" is given. For example, when there is a column with a F-value and there shouldn t be an additional column with the corresponding p-values, it is possible to specify an additional column with significant values (i.e., +p <.10; *p <.05; **p <.01; ***p <.001 which will be merged as one column in the final table. Often it is necesary to provide a table with the means from different groups or conditions. Using the subscript header ("_" it is possible to supply a column with subscripts which indicates which means on a row significantly differ from each other. apa.table object; a list consisting of table flag which indicates whether the document is d FlexTable {ReporteRs} object # Use apa.table function with a minimum of parameters # Specify statistics example <-.frame( c("column 1", "Column 2", "Column 3", c(3.45, 5.21, 2.64, c(1.23, 1.06, 1.12
8 8 apa.table # Create table apa.table( = example, level1.header = c("variable", "M", "SD" # Create a table with two headers # Specify statistics example <-.frame( c("column 1", "Column 2", "Column 3", c(3.45, 5.21, 2.64, c(1.23, 1.06, 1.12, c(8.22, 25.12, 30.27, c("+", "**", "***" # Run method and preview table apa.table( = example, level1.header = c("", "Descriptives", "Inferential", level1.colspan = c(1, 2, 2, level2.header = c("variable", "M", "SD", "t-value", "*" $table
9 Index apa.cor.matrix, 2 apa.descriptives, 3 apa.merge, 4 apa.regression, 5 apa.signif, 6 apa.table, 6 9
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Type Package Package mmpa March 22, 2017 Title Implementation of Marker-Assisted Mini-Pooling with Algorithm Version 0.1.0 Author ``Tao Liu [aut, cre]'' ``Yizhen Xu
Package widyr. August 14, 2017
Type Package Title Widen, Process, then Re-Tidy Data Version 0.1.0 Package widyr August 14, 2017 Encapsulates the pattern of untidying data into a wide matrix, performing some processing, then turning
Package ecoseries. R topics documented: September 27, 2017
Package ecoseries September 27, 2017 Title An R Interface to Brazilian Central Bank and Sidra APIs and the IPEA Data Version 0.1.5 Date 2017-09-27 Maintainer Fernando Teixeira