在 R 中的多列上重复组分析

问题描述

我无法为以下问题找到正确的代码：

我的数据表有多个列代表不同的变量，代表重复测量。我想总结一下 R 中的重复测量

from PyQt5 import QtWidgets
from PyQt5.QtCore import QThread
from Somewhere import Ui_MainWindow

class MainWindow(QtWidgets.QMainWindow,Ui_MainWindow):
    def __init__(self,*args,**kwargs):
        super(MainWindow,self).__init__(*args,**kwargs)
        self.setupUi(self)
        self.showFullScreen()

        # Task and thread instantiated. Task is then assigned to thread.
        self._thread = QThread()
        self._cam_prev = CameraThread()
        self._cam_prev.moveToThread(self._thread)

        # Signals are connected.
        self._cam_prev.signal_new_frame.connect(self.update_image)  # UI signal to show image on QLabel
        self._thread.started.connect(self._cam_prev.run)  # Trigger task's run() when thread is ready
        self._thread.start()

    @pyqtSlot(QPixmap)
    def update_image(self,q_pixmap: QPixmap):
        self.q_cam_preview.setPixmap(q_pixmap)

在第一步中，我将表格分组为

library(data.table)
data.table(structure(list(exp = c("480 p36","480 p36","480 p36"),well = c("A","A","A"),col = c("001","002","003","004","005","006"),`T peak` = c(1.63,1.67,1.56,1.47,1.59,1.55),`T rise` = c(0.2,0.18,0.13,0.14,0.17),`T fall` = c(0.13,0.16,0.15,0.23,0.2),TCT = c(0.86,0.77,0.73,0.76,0.71,0.62),`D peak` = c(0.02,0.02,0.01,0.01),`D valley` = c(0,0),`D high` = c(0.01,`D low` = c(0,AUC = c(0.01,Power = c(0.01,CR = c(0.1,0.12,0.07,0.05),RR = c(-0.1,-0.11,-0.12,-0.04,-0.04)),row.names = c(NA,-6L),class = "data.frame"))

我做了一个可变向量：

group <- group_by(output,col)

我想总结按列 variables <- colnames(group[,4:15],do.NULL = TRUE) 和列分组的每个变量 col。尝试对平均值、SEM 和计数等数据进行汇总。

它适用于

exp

但我认为用变量向量替换每个列名会更好。但这不起作用。有什么建议吗？

解决方法

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