我有一个看起来像这样的数据集:
gene AE CM PR CD34
DDR1 8.020745 7.851901 7.520458 7.948326
RFC2 7.778460 8.175659 7.978560 8.845708
PAX8 9.566903 9.589379 9.405003 8.853069
GUCA1A 5.320824 5.318613 5.333363 5.424622
UBA7 10.422949 10.193109 9.357451 9.985480
GAPDH 13.559894 13.739593 13.517791 12.047161
GAPD 13.619479 13.790955 13.670576 12.994784
STAT_1 10.175952 9.911392 9.424882 10.024869
STAT3 7.089633 6.898931 6.654907 5.894336
STAT4 8.843160 8.746647 8.389753 8.024894
我想为每个可能的对都有一个散点图，并按照以下R命令使用它
d<-read.table("Dataset.txt", header=T, sep="\t")
pairs(~d$AE+d$CM+d$PR+d$CD34,col="red")
现在，我还要用基因名称标记离群值。例如，DDR1与AE Vs CD34之间的差为0.5。因此，应在该图中用基因名称(在本例中为DDR1)进行标记。
总的来说，两对之间显示±0.5差异的任何基因都应标记。
数据:我的数据的前100行的
dput()结果 structure(list(gene = structure(c(25L, 57L, 38L, 47L, 36L), .Label = c("ADAM32",
"AFG3L1", "AKD1", "ALG10", "ARMCX4", "ATP6V1E2", "BEST4", "C15orf40",
"C19orf26", "C4orf33", "C8orf45", "C8orf47", "C9orf30", "CATSPER1",
"CCDC11", "CCDC65", "CCL5", "CILP2", "CNOT7", "CORO6", "CRYZL1",
"CTCFL", "CYP2A6", "CYP2E1", "DDR1", "EPHB3", "ESRRA", "EYA3",
"FAM122C", "FAM18B2", "FAM71A", "FLJ30901", "GAPT", "GIMAP1",
"GSC", "GUCA1A", "HOXD4", "HSPA6", "KLK8", "LEAP2", "MAPK1",
"MFAP3", "MGC16385", "MSI2", "NCRNA00152", "NEXN", "PAX8", "PDE7A",
"PIGX", "PRR22", "PRSS33", "PTPN21", "PXK", "RAX2", "RBBP6",
"RDH10", "RFC2", "SCARB1", "SCIN", "SLC39A13", "SLC39A5", "SLC46A1",
"SP7", "SPATA17", "SRrp35", "THRA", "TIMD4", "TIRAP", "TMEM106A",
"TMEM196", "TRIOBP", "TTC39C", "TTLL12", "UBA7", "VPS18", "WFDC2",
"ZDHHC11", "ZNF333"), class = "factor"), AE = c(8.0207450402,
7.7784602732, 7.274639204, 9.5669027802, 5.3208241196), CM = c(7.8519007358,
8.1756591822, 7.8186806878, 9.5893790363, 5.3186130064), PR = c(7.5204580759,
7.9785595029, 7.3307638794, 9.4050027059, 5.3333625256), CD34 = c(7.9483258833,
8.8457084131, 6.9874872331, 8.8530693617, 5.4246223945), CMP = c(7.9362235824,
10.0085488406, 6.6883401632, 9.249816924, 5.4312885508), GMP = c(8.1370096058,
10.0990080444, 6.7144163183, 9.2157346882, 5.3700062534), Monocytes = c(8.1912723165,
8.7568163628, 9.2072172453, 9.2086040758, 5.3090689608)), .Names = c("gene",
"AE", "CM", "PR", "CD34", "CMP", "GMP", "Monocytes"), row.names = c(NA,
5L), class = "data.frame")
最佳答案
您可以在panel中使用pairs()
由于您在问题中提到的条件不是很清楚，因此我选择根据此条件d$AE - d$PR >= 0.5分配基因名称(您可以根据需要进行相应更改)。因此，如果d$AE - d$PR >= 0.5我创建了一个包含相应基因名称的新列“标签”，并使用该列将标签放置在图表中
d$labels = ifelse(d$AE - d$PR >= 0.5, as.character(d$gene), '')
pairs(~d$AE+d$CM+d$PR+d$CD34,col="red",
panel=function(x, y, ...){
points(x, y, ...);
text(x, y, d$labels, pos = 3, offset = 0.5)
})
还要检查
?text以根据需要更改标签的位置关于r - 识别散点图中的离群值，我们在Stack Overflow上找到一个类似的问题：https://stackoverflow.com/questions/35842077/