我经常用相关矩阵写论文。我希望能够以xls或xlsx格式将相关矩阵导出到Excel。我还想格式化满足阈值的粗体相关(例如,> .2)。我想也许XLConnect可能提供功能。
为了使示例简单,假设数据框如下,并假设我想加粗大于5的所有单元格。
x <- data.frame(matrix(1:9, nrow = 3))
# > x
# X1 X2 X3
# 1 1 4 7
# 2 2 5 8
# 3 3 6 9
顺便说一句,我注意到已经提出了用于降价的单元格的解决方案:
我也找到了这个答案,但它不是一个非常通用的解决方案,因为它需要相当多的时间来适应采用数据框和格式化规则的一般任务:
export data frames to Excel via xlsx with conditional formatting
答案 0 :(得分:3)
我创建了以下根据@jota's answer here
改编的功能xlsx_boldcells <- function(x, matches, file = "test.xlsx", sheetname = "sheet1") {
# x data.frame or matrix
# matches: logical data.frame or matrix of the same size indicating which cells to bold
# copy data frame to work book and load workbook
require(xlsx)
write.xlsx(x, file, sheetName=sheetname)
wb <- loadWorkbook(file)
# specify conditional formatting
# Note: this could be modified to apply different formatting
# see ?CellStyle
fo <- Font(wb, isBold = TRUE)
cs <- CellStyle(wb, font=fo)
# Get cell references
sheets <- getSheets(wb) # get all sheets
sheet <- sheets[[sheetname]] # get specific sheet
rows <- getRows(sheet, rowIndex=2:(nrow(x)+1)) # get rows
cells <- getCells(rows, colIndex = 2:(ncol(x)+1))
# Matches to indexes
indm <- data.frame(which(matches, arr.ind = TRUE, useNames = FALSE))
names(indm) <- c("row", "col")
# +1 required because row and column names occupy first rows and columns
indm$index <- paste(indm$row + 1, indm$col + 1, sep = ".")
# apply cell style
lapply(indm$index, function(ii) setCellStyle(cells[[ii]],cs))
# save workbook
saveWorkbook(wb, file)
}
因此,它可以应用于提出的问题:
xlsx_boldcells(x, x > 5)
得到以下特性:
或者它可以应用于公共相关问题(即,加粗大相关,例如,大于.6),如下所示:
data(mtcars)
cors <- round(cor(mtcars), 2)
xlsx_boldcells(cors, abs(cors) > .6 & cors!=1, file = "cormatrix.xlsx")