我有这张桌子:
structure(list(Samples = structure(1:7, .Label = c("Sample1",
"Sample2", "sample3", "sample4", "sample5", "sample6", "sample7"
), class = "factor"), number_cycle = c(22L, 22L, 26L, 26L, 26L,
22L, 22L), Quality = structure(c(2L, 2L, 3L, 1L, 1L, 1L, 3L), .Label = c("Bad",
"Good", "Middle"), class = "factor"), Concentration = c(14L,
24L, 22L, 40L, 10L, 27L, 12L), Raw_reads = c(100000L, 5000L,
70000L, 340000L, 4789L, 50000L, 25000L)), class = "data.frame", row.names = c(NA,
-7L))
我想绘制一个散点图(raw_reads〜浓度),可以观察两个因素的离散度:质量(颜色)和循环次数(pch)。当我尝试这段代码时,我的情节没有任何意义。
palette(rainbow(3))
plot(test$Raw_reads ~ test$Concentration,
col = test$Quality,
pch = test$number_cycle)
legend(x = "topleft",
legend = levels(test$Quality),
col = rainbow(3),
pch = test$number_cycle)
那我该怎么做以获得散点图?
谢谢您的帮助。
答案 0 :(得分:1)
当您使用基本R绘图时,对于颜色和pch, 您需要指定一个与数据点一样长的向量。我认为对于pch,您需要指定有效数字1:20,对于颜色,请指定因子或字符。解决这个问题的一种方法是调出预定义的pch或col向量:
from threading import Timer
import time
import maya.cmds as cmds
global t
global N
global B
def initGif():
global t
global N
global B
terminateGif()
N = 0
t = Timer(1.0, startGif)
t.start()
def startGif():
global N
global t
while N < 1000:
if N < 1000:
print "Hello", t # This is where the actual images would iterate instead of "Hello"
time.sleep(5)
else:
terminateGif()
continue
def terminateGif():
global t
global N
N = 9999999
try:
t.cancel()
except:
t = "None"
return
def UI():
if cmds.window("win", exists = True):
cmds.deleteUI("win")
cmds.window("win", w = 500, h = 500)
cmds.columnLayout()
cmds.button("stop", c = lambda *args : terminateGif())
cmds.button("start", c = lambda *args : initGif())
cmds.showWindow("win")
UI()
initGif()
您还需要两个图例,一个用于颜色,一个用于pch。