我试图在0和1范围内一次归一化我的矩阵数据的所有行.但我不知道该怎么做..例如,我想规范化每个"obs1","obs2","obs3" .因此,将使用每个"obs1","obs2","obs3"的最小值,最大值和总和.我的数据格式是,
`MYDATA
a b c d e
obs1 8.15609 11.5379 11.1401 8.95186 7.95722
obs2 339.89800 856.3470 691.3490 590.28600 543.67200
obs3 2.12776 46.4561 136.8860 118.09100 119.86400
`
此外,当我搜索执行此操作时,人们使用"function()".何时使用？
非常感谢您的帮助!:)
我需要你们的帮助来分解我的季节性月度数据,但它不起作用,因为NA值没有被删除.可能还有另一个问题.请查看我的数据和错误,如下所示.
ts.monthly<-ts(monthly$rBC.median, frequency=12, start=c(2006, 4))
ts.monthly
Jan Feb Mar Apr May Jun
2006 5.1656479 6.2847959 19.4833690
2007 1.4252665 2.9127775 2.8912652 7.5326158 8.6182227 23.2129310
2008 NA 1.8200842 1.3488755 2.0700927 5.3541366 8.6916708
2009 1.2531161 1.5075780 2.4955524 10.6724704 10.1367162 16.0362127
2010 0.8850190 2.4974866 1.8459976 9.2297697 3.8203789 7.1492986
2011 2.6990434 0.4570701 1.3787403 5.8739804 4.1669501 13.2228535
2012 NA 2.0670538 1.3758499 11.7306663 4.1248775 12.3604423
Jul Aug Sep Oct Nov Dec
2006 9.8028986 7.8167810 2.1333807 2.5777504 1.9022561 2.7254065
2007 4.2121577 8.8604768 12.0017155 4.0978332 1.6053110 NA
2008 5.7338211 …我是python的新手.所以,我的问题可能太简单了,无法解决.但是我不能.请帮我!我没有任何问题使用"plt",但它突然显示错误消息,并且当我导入它时不起作用.请看下面的内容.
>>> import matplotlib
>>> import matplotlib.pyplot as plt
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/lib64/python2.6/site-packages/matplotlib/pyplot.py", line 6, in <module>
from matplotlib.figure import Figure, figaspect
File "/usr/lib64/python2.6/site-packages/matplotlib/figure.py", line 18, in <module>
from axes import Axes, SubplotBase, subplot_class_factory
File "/usr/lib64/python2.6/site-packages/matplotlib/axes.py", line 2, in <module>
import math, sys, warnings, datetime, new
File "new.py", line 12, in <module>
import matplotlib.pyplot as plt
AttributeError: 'module' object has no attribute 'pyplot'
这个包突然被破坏了？所以,我尝试安装如下.我使用ubuntu.
In [1]: sudo apt-get install python-matplotlib
File …我正在寻找使用 x=season 和 function=event 绘制许多 y 变量的箱线图的方法。我想把很多图都画在一起，比如：
第一个图：x=season，y=var1 by function=event 第二个图：x=season，y=var1，by function=event ..
我的数据如下所示。其实我的变数还有很多。
...................................................... ......................
event season var1 var2 var3
1 event_free wet.summer 14.193489 16.786347 22.65968
2 event_free fall 3.209114 9.948187 15.44799
3 event fall 4.564315 10.647883 34.24658
4 event fall 20.152646 31.114422 33.04899
5 event_free fall 3.944427 6.431695 10.27153
6 event_free fall 9.994351 16.110569 22.73702
7 event_free fall 3.100501 6.507310 14.37157
8 event_free winter 2.631117 NA 13.88889
9 event winter 20.745972 22.629357 29.27042
10 event winter 15.929737 21.355657 …