我有以下代码试图插值空气温度值 import numpy as np
from scipy.interpolate import RectBivariateSpline as spline
x = np.array([-7.52, -7.50, -7.48, -7.46])
y = np.array([41.88, 41.90, 41.92, 41.94])
z = np.array([
我有以下假设要绘制的数据限制三次样条 library(rms)
library(survival)
n <- 1000
set.seed(731)
age <- 50 + 12*rnorm(n)
label(age) <- "Age"
sex <- factor(sample(c('Male','Female'), n, rep=TRUE, prob=c(.6, .4)))
cens
这里的用户指定的程度是我跑 fun <- function(x) {1 + 3*sin(4*pi*x-pi)}
set.seed(1)
num.samples <- 1000
x <- runif(num.samples)
y <- fun(x) + rnorm(num.samples) * 1.5
fit <- smooth.spline(x, y, all.knots=TRUE, d
我在Matlab中有一段代码，它应该采用Airfoil轮廓并增加点数，以便在另一个程序中绘制轮廓时，我会获得更平滑的曲线。 clear
%reading an external data file
fid = fopen('NACA0015.txt');
a = fscanf(fid,'%g %g',[2 inf]); % It has two rows now.
a = a'; % ma