filter(flowPhyto)
filter()所属R语言包:flowPhyto
Filter Optimally Positioned Particles from an EVT dataframe
筛选最佳位置的粒子从一个极值dataframe
译者:生物统计家园网 机器人LoveR
描述----------Description----------
The function normalizes the signals of the two position-sensitive detectors (D1 and D2) by the forward angle light scatter (fsc_small) signal to identify optimally positioned particles (OPP) from an EVT dataframe. Optionally the function outputs a control quality plot for OPP filtration.
功能标准化前向角散射光(fsc_small)信号,以确定最佳位置的粒子(OPP),从一个极值dataframe两个位置灵敏探测器(D1和D2)的信号。可选的功能输出为OPP过滤控制质量图。
用法----------Usage----------
filter(events, width=1, notch=1, slope=NULL, edge=1, do.plot=FALSE)
参数----------Arguments----------
参数:events
event dataframe
事件dataframe
参数:slope
correction factor for the stream alignment. When stream is not properly aligned, aligned particles do not scatter light equally on D1 and D2 and therefore do not lie onto the 1:1 line on the scatter plot of D2 vs D1. By default, the value of the slope is calculated as the ratio of D2/D1
修正系数为流对齐。流时,没有正确对齐,对齐颗粒不散射光线同样的D1和D2,因此不在于到1:1线的散点图上的D2与D1。默认情况下,D2/D1比例的坡度值计算为
参数:width
the width of the gate to the sides of the 1:1 equal detector response defines the allowed error in particle trajectories across the width of the stream.
门的宽度,以1:1等于探测器响应的双方定义粒子轨迹横跨流宽度在允许的误差。
参数:notch
the correction factor for the sensitivity of FSC with respect to D1 and D2. Scattered light from focused particles is maximal at the forward scatter detector (FSC) and minimal at both position detectors. When the sensitivity of FSC and D1/D2 detectors is adjusted to respond equally to focused calibration particles, the FSC normalized by the signal of both position detectors must be lower than 1.
FSC的D1和D2的灵敏度校正因子。从集中粒子的分散光前向散射检测器(FSC)是最大的,并在这两个位置检测器的最小。 FSC的两个位置检测器的信号标准化时的FSC和D1/D2探测器的灵敏度进行调整,以回应同样集中校准颗粒,必须低于1。
参数:edge
location of the boundary layer between water/air. Particles located at the boundary layer scatter light that can be detected by the position detectors.
水/空气之间的边界层的位置。在位于位置探测器,可以通过检测的边界层散射光的粒子。
参数:do.plot
create a plot that showed the different steps for filtering out non-optimally positioned particles
表明非最佳定位颗粒过滤掉不同的步骤创建一个图
值----------Value----------
a optimal-position filtered event dataframe
一种最优位置过滤事件dataframe
举例----------Examples----------
evt.file.path <- system.file("extdata","seaflow_cruise","2011_001", "1.evt",
package="flowPhyto")
evt <- readSeaflow(evt.file.path)
opp <- filter(evt)
summary(opp)
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注:
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