prFpConvertMultiimArray(mean) 错误：抱歉未能自动识别 upper/lower 边界。）

Question

我在 R 中创建森林图时遇到问题。我的问题是这样的；我不断收到一条错误消息（prFpConvertMultiimArray(mean) 中的错误：抱歉，没有设法自动识别 upper/lower 边界。）这也指的是哪个边界，无论如何我可以自己设置边界吗？我的代码如下：

cochrane_meta<-structure(list( mean= c(-0.96, -0.3194, -0.2443, 0.3619, -0.412,  -0.0859, 0.121, 0.096, -0.02, -0.01), lower= c(-0.969, -0.421, -0.387, 0.178, -0.489, -0.29, -0.461, -0.48, -0.104, -0.098), upper= c(-0.949, -0.209, -0.089, 0.521, -0.328, 0.126, 0.63, 0.614, 0.064, 0.078)), .Names= c("mean", "lower", "upper"), row.names= c(NA, -11L), class= "data.frame") 

tabletext<-cbind( c("", "Study Reference", "WOS:000176556700011", "WOS:000184899600023", "ZOOR13400031947", "WOS:000332479400108", "ZOOR11900034495", "WOS:000243735000023", "WOS:000182080900010 (2)", "WOS:000182080900010", "WOS:000334339000135", "WOS:000334339000135 (2)", NA, "Mean Effect Size"), c("Sample Number", "n", "250", "275", "154", "100", "411", "88", "13", "13", "547", "493", NA, NA), c("Effect Size", "r", "-0.96", "-0.3194", "-0.2443", "0.3619", "-0.412", "-0.0859", "0.121", "0.096", "-0.02", "-0.01", NA, "-0.14727"))

forestplot(tabletext, cochrane_meta, new_page = TRUE, is.summary=c(TRUE, TRUE, rep(FALSE,10), TRUE), clip=c(- 1.00,1.00), xlog=TRUE, col=fpColors(box="royalblue",line="darkblue",summary="royalblue"))

当我尝试使用此代码设置 CI 限制时：

forestplot(tabletext, 
       cochrane_meta, new_page = TRUE,
       is.summary=c(TRUE, TRUE, rep(FALSE,10),TRUE),
       clip=c(-1.00,1.00),
       xlog=TRUE,
       upper = 1.0, lower = -1.0,
       col=fpColors(box="royalblue",line="darkblue", summary="royalblue"))

我收到错误消息：

Error in forestplot.default(tabletext, cochrane_meta, new_page = TRUE,  :

均值、下限和上限包含无效的列数均值columns:3下限列：上限列：

这是我第一次发帖，如有帮助将不胜感激。如果需要更多信息，请告诉我。谢谢！

Answer 1

我遇到了几个错误。

第一个：

Error in prFpConvertMultidimArray(mean) : Sorry did not manage to automatically identify the upper/lower boundaries.

为此，我将对象保留为包示例：

cochrane_meta <- data.frame(
  coef = c(-0.96, -0.3194, -0.2443, 0.3619, -0.412,  -0.0859, 0.121, 0.096, -0.02, -0.01), 
  low = c(-0.969, -0.421, -0.387, 0.178, -0.489, -0.29, -0.461, -0.48, -0.104, -0.098), 
  high = c(-0.949, -0.209, -0.089, 0.521, -0.328, 0.126, 0.63, 0.614, 0.064, 0.078))

第二个：

Error in forestplot.default(tabletext, cochrane_meta, new_page = TRUE,  :  

All argument values (mean, lower, upper, zero, grid and clip) should be provided as exponentials when using the log scale. This is an intentional break with the original forestplot function in order to simplify other arguments such as ticks, clips, and more.

为了修复它，我更改了绘图参数：

forestplot(tabletext, cochrane_meta, new_page = TRUE,
           is.summary=c(TRUE, TRUE, rep(FALSE,10),TRUE),
           clip=c(-1.00,1.00), xlog=F, 
           col=fpColors(box="royalblue",line="darkblue", summary="royalblue"))

第三名：

Error in forestplot.default(tabletext, cochrane_meta, new_page = TRUE,  : 
  You have provided 10 rows in your mean arguement while the labels have 14 rows

然后我删除了您的 table.text 对象中的一些行：

tabletext<-cbind( c("WOS:000176556700011", "WOS:000184899600023", "ZOOR13400031947", "WOS:000332479400108", "ZOOR11900034495", "WOS:000243735000023", "WOS:000182080900010 (2)", "WOS:000182080900010", "WOS:000334339000135", "WOS:000334339000135 (2)"), 
                  c("250", "275", "154", "100", "411", "88", "13", "13", "547", "493"),
                  c("-0.96", "-0.3194", "-0.2443", "0.3619", "-0.412", "-0.0859", "0.121", "0.096", "-0.02", "-0.01"))

最终情节如下：

forestplot(tabletext, cochrane_meta, new_page = TRUE,
           is.summary=c(TRUE, TRUE, rep(FALSE,10),TRUE),
           clip=c(-1.00,1.00), xlog=F, 
           col=fpColors(box="royalblue",line="darkblue", summary="royalblue"))

这是我的结果

希望你觉得有用

prFpConvertMultiimArray(mean) 错误：抱歉未能自动识别 upper/lower 边界。）

Error in prFpConvertMultidimArray(mean) : Sorry did not manage to automatically identify the upper/lower boundaries.)

r

data-visualization

forestplot