Scilab includes a large number of libraries and functions that can generate plots with a minimum of complexity. Take the example of generating a simple three-dimensional histogram plot.
Scilab中包括很多库和函数，它们可以使用最少的复杂性来绘制图形。
Many use R mainly in an ad hoc way—to plot a histogram here, perform a regression analysis there, and carry out other discrete tasks involving statistical operations.
许多人仅是为了一些特别的目的——制作柱状图、做还原分析、或是完成一些涉及统计操作的分散任务——才使用R编程。
And then I'm going to plot a histogram, Pylab dot hist instead of plot, and we'll get something quite different.
然后我将要绘制一个柱状图，我们要用Pylab,hist而不是plot了，我们能获取不一样的东西。
In one embodiment, the spectral plot that is generated is a histogram of stochastic resonance events over the selected frequency range.
在一实施例中，该生成的谱曲线是该选定的频率范围上的随机谐振事件直方图。
In that case, run MACD lines, return to the menu and run an indicator called spread (or similar), which should measure the spread between the two lines and plot it as a histogram.
如果这样，运行MACD，回到菜单，运行一个叫高度(或类似的)的指标，这个指标可以计算2条线之间的距离并用柱状图表示。
In that case, run MACD lines, return to the menu and run an indicator called spread (or similar), which should measure the spread between the two lines and plot it as a histogram.
如果这样，运行MACD，回到菜单，运行一个叫高度(或类似的)的指标，这个指标可以计算2条线之间的距离并用柱状图表示。
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