我有这个数据集，我想过滤满足至少一个要求的行，在padj的任何列（padj.1，padj.2等）中至少有一个小于0.001的值
log2FoldChange padj log2FoldChange.1 padj.1 log2FoldChange.2 padj.2 log2FoldChange.3 padj.3
AT1G01010 -0.006572090 9.998981e-01 -0.309669318 9.999662e-01 0.438877524 8.309090e-01 0.561092027 5.682979e-01
AT1G01020 0.017360429 9.998981e-01 0.073469652 9.999662e-01 -0.069928545 9.563338e-01 0.125792938 8.207208e-01
AT1G01030 -0.085871384 9.998981e-01 -0.325335794 9.999662e-01 -0.399593376 6.736412e-01 0.441444783 4.456086e-01
AT1G01040 -0.060245264 9.998981e-01 -0.232347149 7.785949e-01 0.122877554 7.833058e-01 -0.069458761 8.334858e-01
AT1G01050 -0.052917601 9.998981e-01 0.014403301 9.999662e-01 0.148566949 8.249185e-01 -0.282904657 2.909831e-01
AT1G01060 0.047175423 9.998981e-01 -0.144865979 8.393350e-01 0.164981232 2.485552e-01 -0.349949093 4.481910e-04
AT1G01080 0.008088133 9.998981e-01 -0.076365069 9.999662e-01 0.074804359 8.919594e-01 -0.129912325 5.543105e-01
AT1G01090 0.056330307 9.998981e-01 -0.014582717 9.999662e-01 0.034778584 9.455045e-01 -0.024959676 9.186005e-01
AT1G01100 -0.060240311 9.998981e-01 0.142628251 9.999662e-01 0.012350145 9.886096e-01 0.214901315 3.117450e-01
AT1G01110 0.013833213 9.998981e-01 1.153241053 3.916769e-01 0.612459109 5.970020e-01 -1.326637272 1.308788e-02
AT1G01120 0.103551581 9.998981e-01 -0.318902875 3.272385e-01 0.234447384 3.078595e-01 -0.683988096 1.880000e-08
AT1G01130 0.189351439 9.998981e-01 -0.462637322 9.999662e-01 -0.170228839 9.550798e-01 0.434854000 7.426886e-01
AT1G01140 -0.005671191 9.998981e-01 -0.313300814 2.749158e-01 -1.053242873 2.890000e-18 1.185748730 3.650000e-26
AT1G01160 -0.074044311 9.998981e-01 0.099783450 9.999662e-01 -0.082539415 9.512494e-01 0.093031718 8.912551e-01
AT1G01170 0.037769428 9.998981e-01 -0.013651764 9.999662e-01 -0.117681977 8.691103e-01 0.068321467 8.790404e-01
AT1G01180 0.248586221 9.998981e-01 -0.659122042 2.585560e-01 0.018832015 9.916358e-01 0.027246808 9.725611e-01
AT1G01210 -0.082339205 9.998981e-01 0.337750634 9.999662e-01 0.108632580 9.549792e-01 -0.255164413 7.487148e-01
AT1G01220 0.074423950 9.998981e-01 -0.184146594 9.999662e-01 0.108415967 8.895097e-01 -0.109752150 7.787131e-01
AT1G01225 -0.157080073 9.998981e-01 0.088379552 9.999662e-01 0.368176470 7.468810e-01 -0.051841400 9.582530e-01
AT1G01230 0.124919482 9.998981e-01 0.038120336 9.999662e-01 -0.038279670 9.724470e-01 0.156677162 6.437230e-01
AT1G01240 0.101444575 9.998981e-01 0.041297975 9.999662e-01 -0.020448865 9.855355e-01 0.105263537 7.626743e-01
AT1G01250 0.065966313 9.998981e-01 -0.091808753 9.999662e-01 0.141797906 9.673330e-01 1.565726558 4.506212e-03
AT1G01260 0.471038145 9.998981e-01 1.528887763 1.200000e-18 -0.346919177 1.656233e-01 -0.810355958 2.440000e-07
AT1G01290 0.118170716 9.998981e-01 -0.047075401 9.999662e-01 -0.056431451 9.684373e-01 0.246362831 5.652973e-01
这是所需的输出
log2FoldChange padj log2FoldChange.1 padj.1 log2FoldChange.2 padj.2 log2FoldChange.3 padj.3
AT1G01060 0.047175423 9.998981e-01 -0.144865979 8.393350e-01 0.164981232 2.485552e-01 -0.349949093 4.481910e-04
AT1G01120 0.103551581 9.998981e-01 -0.318902875 3.272385e-01 0.234447384 3.078595e-01 -0.683988096 1.880000e-08
AT1G01140 -0.005671191 9.998981e-01 -0.313300814 2.749158e-01 -1.053242873 2.890000e-18 1.185748730 3.650000e-26
AT1G01260 0.471038145 9.998981e-01 1.528887763 1.200000e-18 -0.346919177 1.656233e-01 -0.810355958 2.440000e-07
问候并感谢
答案 0 :(得分：1)
我们可以将filter_at与dplyr一起使用。如果存在行名称，则最好在执行管道之前将其添加为单独的列，因为行名称已删除。
library(tidyverse)
df1 %>%
rownames_to_column('rn') %>%
filter_at(vars(matches("padj")), any_vars(. < 0.001))
# rn log2FoldChange padj log2FoldChange.1 padj.1 log2FoldChange.2 padj.2 log2FoldChange.3 padj.3
#1 AT1G01060 0.047175423 0.9998981 -0.1448660 8.393350e-01 0.1649812 2.485552e-01 -0.3499491 4.48191e-04
#2 AT1G01120 0.103551581 0.9998981 -0.3189029 3.272385e-01 0.2344474 3.078595e-01 -0.6839881 1.88000e-08
#3 AT1G01140 -0.005671191 0.9998981 -0.3133008 2.749158e-01 -1.0532429 2.890000e-18 1.1857487 3.65000e-26
#4 AT1G01260 0.471038145 0.9998981 1.5288878 1.200000e-18 -0.3469192 1.656233e-01 -0.8103560 2.44000e-07
答案 1 :(得分：0)
我认为你可以用哪个函数做到这一点。
试试这个，它对我有用：
i = which((data$padj.1 > 0.001) | (data$padj.2 > 0.001)|(data$padj.3 > 0.001) )
data[i,]