红宝石曲线拟合（对数回归）包

Question

我正在寻找做对数回归（曲线拟合对数方程）的红宝石或库。我试过statsample（http://ruby-statsample.rubyforge.org/），但它似乎没有我正在寻找的东西。任何人有任何建议？

Answer 1

我正在寻找类似的东西，并且遇到了这个answer。

三颗宝石从红宝石其中R交互：

• RinRuby（https://sites.google.com/a/ddahl.org/rinruby-users/）
• RSRuby（https://github.com/alexgutteridge/rsruby）
• Rserve通过Rserve-Ruby的客户端（https://github.com/clbustos/Rserve-Ruby-client）

在Ruby中另一颗宝石为LR：

• 线性回归红宝石（http://code.google.com/p/linear-regression-ruby/）

我还没有尝试过任何东西，但我调查哪些选项有做MLR在Ruby中。

Answer 2

尝试使用'statsample'宝石。您可以使用类似的方法执行指数，对数，功率，正弦曲线或任何其他转换。我希望这有帮助。

require 'statsample' 

# Independent Variable 
x_data = [Math.exp(1), Math.exp(2), Math.exp(3), Math.exp(4), Math.exp(5)] 

# Dependent Variable 
y_data = [3, 5, 7, 9, 11] 

# Logarithmic Transformation of X data 
# Math.log in Ruby has the base of Euler's number 'e' ~= '2.71828', 
# instead of the base '10'. Just a note. 
log_x_data = x_data.map { |x| Math.log(x) } 

# Linear Regression using the Logarithmic Transformation 
x_vector = log_x_data.to_vector(:scale) 
y_vector = y_data.to_vector(:scale) 
ds = {'x'=>x_vector,'y'=>y_vector}.to_dataset 
mlr = Statsample::Regression.multiple(ds,'y') 

# Prints a statistical summary of the regression 
print mlr.summary 

# Lists the value of the y-intercept 
p mlr.constant 

# Lists the coefficients of each casual variable. In this case, we have only one--'x'. 
p mlr.coeffs 

# The regression output produces the line y = 1 + 2*x, but 
# considering that we transformed x earlier, it really produces 
# y = 1 + 2*ln(x). 

# Bonus: The command below lists the methods contained in the instance variable, so that 
# you can get the R^2, SSE, coefficients, and t-values. I'll leave it commented out for now. 
# p mlr.methods