合并不同列长度和操纵列的几个数据帧。

我正在使用具有不同数据（每个组织数据的蛋白质）的9个文件。每个文件代表一个不同的组织，并具有蛋白质表达值（如数字）。我正在尝试将数据合并到一个data.frame中。我用合并不同列长度和操纵列的几个数据帧。

read.delim("fileName.txt")

所有的文件。在那之后，我用一个列表中的所有数据帧

l <- list(data.frame1,..etc)

然后我用了plyr库和do.call(rbind.fill,l)。

我的问题：

1）我要遍历的9个data.frames列表中找到独特的数据在其中，并在直方图绘制。如果我发现多个具有相同名称但不同组织的条目，则应将其添加到正确组织标签上方的直方图中。那就是 - 我转到列表中的第一个data.frame，从中取出第一个条目，搜索在其他data.frames中是否找到该条目，如果是，则将其添加到直方图中。

直方图在x轴上有9个组织，y轴是我的文件中的值。我不知道如何让直方图（和代码）正确地更改名称以及如何在正确的位置显示条形图。

另外我不知道如何建立轴来获取每个栏下的组织名称。

我有没有做我想要的一些基本代码：

i=1 

for(val in list2[1:9]) 
{ 
    if(val appears in one of the other data.frames) 
      plot a bar over the correct tissue. 

    hist(val[i,8],breaks=11,col="blue",density=13,angle=45, 
      labels=c("Lung","ErythroleukemicCellLine","TCells","Blood","liver", 
      "BLimpho","pancreas","prostate","Bladder"), main=fileName[i,1]) 
    dev.new() #each hist in a new window 
    i = i + 1 

}

谢谢 yigeal

这是代码的输出结束的几行：读后与read.delim（ “nameOfFile.txt”）的文件

dput(BloodErythroleukemicCellLineFile) 
"Tax_Id=9606 Gene_Symbol=ZNF589 Uncharacterized protein", 
    "Tax_Id=9606 Gene_Symbol=ZNF598 Isoform 1 of Zinc finger protein 598", 
    "Tax_Id=9606 Gene_Symbol=ZNF609 Zinc finger protein 609", 
    "Tax_Id=9606 Gene_Symbol=ZNF610 Isoform 1 of Zinc finger protein 610", 
    "Tax_Id=9606 Gene_Symbol=ZNF613 Isoform 1 of Zinc finger protein 613", 
    "Tax_Id=9606 Gene_Symbol=ZNF614 Zinc finger protein 614", 
    "Tax_Id=9606 Gene_Symbol=ZNF622 Zinc finger protein 622", 
    "Tax_Id=9606 Gene_Symbol=ZNF625 Zinc finger protein 625", 
    "Tax_Id=9606 Gene_Symbol=ZNF638 Isoform 1 of Zinc finger protein 638", 
    "Tax_Id=9606 Gene_Symbol=ZNF638 Isoform 4 of Zinc finger protein 638", 
    "Tax_Id=9606 Gene_Symbol=ZNF646 Isoform 1 of Zinc finger protein 646", 
    "Tax_Id=9606 Gene_Symbol=ZNF658B Zinc finger protein 658B", 
    "Tax_Id=9606 Gene_Symbol=ZNF667 Zinc finger protein 667, isoform CRA_a", 
    "Tax_Id=9606 Gene_Symbol=ZNF671 Zinc finger protein 671", 
    "Tax_Id=9606 Gene_Symbol=ZNF687 Isoform 1 of Zinc finger protein 687", 
    "Tax_Id=9606 Gene_Symbol=ZNF687 Zinc finger protein 687", 
    "Tax_Id=9606 Gene_Symbol=ZNF691 cDNA FLJ56317, highly similar to Zinc finger protein 691", 
    "Tax_Id=9606 Gene_Symbol=ZNF700 Zinc finger protein 700", 
    "Tax_Id=9606 Gene_Symbol=ZNF714 Isoform 1 of Zinc finger protein 714", 
    "Tax_Id=9606 Gene_Symbol=ZNF72 Zinc finger protein 72 (Fragment)", 
    "Tax_Id=9606 Gene_Symbol=ZNF721 zinc finger protein 721", 
    "Tax_Id=9606 Gene_Symbol=ZNF76 Isoform 2 of Zinc finger protein 76", 
    "Tax_Id=9606 Gene_Symbol=ZNF782 Zinc finger protein 782", 
    "Tax_Id=9606 Gene_Symbol=ZNF787 Zinc finger protein 787", 
    "Tax_Id=9606 Gene_Symbol=ZNF800 Zinc finger protein 800", 
    "Tax_Id=9606 Gene_Symbol=ZNF827 21 kDa protein", "Tax_Id=9606 Gene_Symbol=ZNF828 Zinc finger protein 828", 
    "Tax_Id=9606 Gene_Symbol=ZNF837 Zinc finger protein 837", 
    "Tax_Id=9606 Gene_Symbol=ZNF878 Zinc finger protein 878", 
    "Tax_Id=9606 Gene_Symbol=ZNF891 Zinc finger protein 891", 
    "Tax_Id=9606 Gene_Symbol=ZNHIT2 Zinc finger HIT domain-containing protein 2", 
    "Tax_Id=9606 Gene_Symbol=ZP2 Zona pellucida sperm-binding protein 2", 
    "Tax_Id=9606 Gene_Symbol=ZRANB2 Isoform 1 of Zinc finger Ran-binding domain-containing protein 2", 
    "Tax_Id=9606 Gene_Symbol=ZSWIM6 Zinc finger SWIM domain-containing protein 6", 
    "Tax_Id=9606 Gene_Symbol=ZUFSP 32 kDa protein", "Tax_Id=9606 Gene_Symbol=ZW10 Centromere/kinetochore protein zw10 homolog", 
    "Tax_Id=9606 Gene_Symbol=ZWINT ZW10 interactor", "Tax_Id=9606 Gene_Symbol=ZYG11B Isoform 1 of Protein zyg-11 homolog B", 
    "Tax_Id=9606 Gene_Symbol=ZYX cDNA FLJ53160, highly similar to Zyxin", 
    "Tax_Id=9606 Gene_Symbol=ZYX Uncharacterized protein", "Tax_Id=9606 Gene_Symbol=ZYX Zyxin" 
    ), class = "factor")), .Names = c("proteinIdentifier", "protein", 
"spectra", "unique_peptides", "FDR", "local_FDR", "sequence_coverage", 
"expression_value", "expression_percentile", "organism", "tissue", 
"localization", "condition", "experiment", "annotation"), class = "data.frame", row.names = c(NA, 
-4802L))

它是更长的时间在控制台

来源

2011-05-26 yigeal

我编辑了你的问题，使其更易读。请每个问题只问一个问题。有关plyr库的全部内容，请参阅手册。 '？rbind.fill'会告诉你所有你需要知道的信息。 – 2011-05-26 14:41:36

你可以为你的两个data.frames（或者至少是它们的顶部行）提供dput输出，所以我们有一些东西可以使用吗？ – 2011-05-26 15:00:48

在你的问题中找到问题的核心并不容易。在使用一些共同项目合并数据帧（或域），您可以使用合并（）函数，如：

merge(dataframe1, dataframe2, by=c('column_name1','column_name2'), suffixes=c('.from_df1','.from_df2'))

如果要选择行或列，你可以做这样的：

dataframe1[dataframe$column1 == 'some_value", c('col1', 'col2')]

etc ... 这对你有帮助吗？

来源

2011-07-22 20:08:22 TMS

合并不同列长度和操纵列的几个数据帧。

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