如何从 R 生成报告质量表？

发布于 2024-08-05 05:44:22 字数 655 浏览 9 评论 0原文

如果我有以下称为结果的数据框，

> result
     Name       CV      LCB       UCB
1  within 2.768443 1.869964  5.303702
2 between 4.733483 2.123816 18.551051
3   total 5.483625 3.590745 18.772389

> dput(result,"")
structure(list(Name = structure(c("within", "between", "total"
), .rk.invalid.fields = list(), .Label = character(0)), CV = c(2.768443, 
4.733483, 5.483625), LCB = c(1.869964, 2.123816, 3.590745), UCB = c(5.303702, 
18.551051, 18.772389)), .Names = c("Name", "CV", "LCB", "UCB"
), row.names = c(NA, 3L), class = "data.frame")

那么很好地呈现此数据的最佳方式是什么？理想情况下，我想要一个可以粘贴到报告中的图像文件，或者可能是一个代表表格的 HTML 文件？

设置有效数字的额外积分。

原文

If I have the following dataframe called result

> result
     Name       CV      LCB       UCB
1  within 2.768443 1.869964  5.303702
2 between 4.733483 2.123816 18.551051
3   total 5.483625 3.590745 18.772389

> dput(result,"")
structure(list(Name = structure(c("within", "between", "total"
), .rk.invalid.fields = list(), .Label = character(0)), CV = c(2.768443, 
4.733483, 5.483625), LCB = c(1.869964, 2.123816, 3.590745), UCB = c(5.303702, 
18.551051, 18.772389)), .Names = c("Name", "CV", "LCB", "UCB"
), row.names = c(NA, 3L), class = "data.frame")

What is the best way to present this data nicely? Ideally I'd like an image file that can be pasted into a report, or possibly an HTML file to represent the table?

Extra points for setting number of significant figures.

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↘人皮目录ツ 2024-08-12 05:44:22

我会使用xtable。我通常将它与 Sweave 一起使用。

library(xtable)
d <- data.frame(letter=LETTERS, index=rnorm(52)) 
d.table <- xtable(d[1:5,])
print(d.table,type="html")

如果你想在 Sweave 文档中使用它，你可以像这样使用它：

<<label=tab1,echo=FALSE,results=tex>>=
xtable(d, caption = "Here is my caption", label = "tab:one",caption.placement = "top")
@

I would use xtable. I usually use it with Sweave.

library(xtable)
d <- data.frame(letter=LETTERS, index=rnorm(52)) 
d.table <- xtable(d[1:5,])
print(d.table,type="html")

If you want to use it in a Sweave document, you would use it like so:

<<label=tab1,echo=FALSE,results=tex>>=
xtable(d, caption = "Here is my caption", label = "tab:one",caption.placement = "top")
@

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绮烟 2024-08-12 05:44:22

对于表格方面， xtable 包是这样的它可以生成 LaTeX 输出（您可以通过 Sweave 将其用于专业报告）以及 html。

如果您将 Sweave 中的内容与精美的图表结合起来（请参阅有关 ggplot 示例的其他问题），那么您就快完成了。

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情绪操控生活 2024-08-12 05:44:22

library(ggplot2)
ggplot(result, aes(x = Name, y = CV, ymin = LCB, ymax = UCB)) + geom_errorbar() + geom_point()
ggplot(result, aes(x = Name, y = CV, ymin = LCB, ymax = UCB)) + geom_pointrange()

library(ggplot2)
ggplot(result, aes(x = Name, y = CV, ymin = LCB, ymax = UCB)) + geom_errorbar() + geom_point()
ggplot(result, aes(x = Name, y = CV, ymin = LCB, ymax = UCB)) + geom_pointrange()

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回梦 2024-08-12 05:44:22

要设置有效数字，最简单的方法（请注意，对于此示例数据）是将 Name 移动到 rowname 并对整个内容进行舍入。

#Set the rownames equal to Name - assuming all unique
rownames(result) <- result$Name  
#Drop the Name column so that round() can coerce
#result.mat to a matrix
result.mat <- result[ , -1]       
round(result.mat, 2) #Where 2 = however many sig digits you want.

这不是一个非常强大的解决方案 - 我认为非唯一的名称值会破坏它，就像其他非数字列一样。但对于生成像您的示例这样的表格，它就可以了。

To set the significant figures, the easiest thing to do (for this sample data, mind you) would be to move Name to rownames and round the whole thing.

#Set the rownames equal to Name - assuming all unique
rownames(result) <- result$Name  
#Drop the Name column so that round() can coerce
#result.mat to a matrix
result.mat <- result[ , -1]       
round(result.mat, 2) #Where 2 = however many sig digits you want.

This is not a terribly robust solution - non-unique Name values would break it, I think, as would other non-numeric columns. But for producing a table like your example, it does the trick.

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