The document describes the memisc R package which contains functions for creating publication-ready regression tables. It shows how to use the mtable function to generate a regression table from linear models and export it to an Excel spreadsheet. Additionally, it demonstrates how to write the iris dataset directly to a worksheet and a subset of iris to another location in the same worksheet.

39. ... (almost) publication-ready tables
of regression model estimates. ...
(memisc package description)

56. # mtable
options("factor.style"="($f): ($l)")
# ($f) $l)
options("baselevel.sep"="-")
#
options("float.style"="f")
#
formatC format

60. library(XLConnect)
book <- loadWorkbook("test.xlsx",
create = TRUE)
#
createSheet(book, "test")
#
writeWorksheet(book, iris, sheet='test',
startrow=0, startcol=0, header=TRUE)
#
saveWorkbook(book)
#

62. m1 <- mtable(lm0, lm1, coef.style="default",
summary.stats=c("adj. R-squared", "AIC", "BIC","N"))
con <- textConnection(format(m1))
m1.df <- read.table(con, sep="t")
close(con)
book <- loadWorkbook("test.xlsx", create = TRUE)
createSheet(book, "mtable")
writeWorksheet(book, m1.df, sheet='mtable', header=FALSE)
saveWorkbook(book)

63. book <- loadWorkbook("test.xlsx", create = TRUE)
book["iris"] <- iris
#
book["iris2", startRow = 6, startCol = 11,
header = FALSE] <- iris
#
saveWorkbook(book)
book["iris"]
book["iris2", header=FALSE]
#