: need finite 'xlim' values,这个错误通常发生在R语言的绘图函数中,尤其是当试图绘制的图形的x轴限制(xlim)不是有限数(例如无穷大或NaN)时。以下是一些可能的解决步骤和原因分析: 确认plot.window(...)函数调用时提供的xlim参数值: 在R中,当你使用基础绘图函数(如plot())时,可以通过xlim参数来设置x轴的...
Example 1: Reproduce the Error Message – need finite ‘xlim’ values In this example, I’ll illustrate how to replicate the error message “need finite ‘xlim’ values” in R. If we want to draw our previously created data to a plot, we might try to use the following R code: ...
: need finite 'ylim' values R Shepard 被引量: 0发表: 0年 A posteriori error estimation techniques in practical finite element analysis In this paper we review the basic concepts to obtain a posteriori error estimates for the finite element solution of an elliptic linear model problem. We g....
Error in grid.Call.graphics(C_setviewport, vp, TRUE) : non-finite location and/or size for viewport In addition: There were 21 warnings (use warnings() to see them) > warnings() Warning messages: 1: In max(data$long) : no non-missing arguments to max; returning -Inf 2: In min(da...
I tried changing the initial conditions and reducing the fixed step size, but neither works. Attached here is my Simulink file and the list of parameters I'm using, could someone give me some hint please?
For example, the final values oftandh1both end up being the vector0 3 20 0 0 0, which creates the warnings you see. Time must be always increasing, but it goes from 20 back to 0! My understanding is you want to generate a time vector that goes from 0 to 1.6 seconds. For the fi...
Error in plot.window(…) : need finite ‘ylim’ values As you can see in this example, the vectors entered into the plot() function are “x” and “q” with “x” being a numeric vector and “q” a character Victor. Note the unused numeric vector “y” which is also a numeric ...
We use the same notation as the previous section, i.e., denote the time series data by 𝐘Y and the data with imputed values by 𝐘𝑖𝑚𝑝𝑢𝑡𝑒𝑑Yimputed. We also write 𝑌𝑗 = 𝑓(𝑋𝑗)Yj = f(Xj), where 𝑋𝑗Xj can be regarded as the time at which 𝑌...
"""# import pyqtgraph as pgcolors ='bgrcmykw'# lets hope for less than 9 data-setst, rv, err = self.time, self.vrad, self.error# temporariesplt.figure()# p = pg.plot()# plot each files' valuesfori, (fname, [n, nout])inenumerate(sorted(self.provenance.iteritems())): ...
On˜ate, "On the need for the use of error-controlled finite element analyses in structural shape optimization processes," International Journal for Numerical Methods in Engineering, vol. 87, no. 11, pp. 1105- 1126, 2011.Rodenas, J.J., Bugeda, G., Albelda, J. and Oňate, E. (...