How to use Excel Application.NormDist formula in Go language?

php editor Xinyi will introduce to you in detail how to use the Excel Application.NormDist formula in Go language. The Excel Application.NormDist function is a function used to calculate the probability density function of the standard normal distribution. In the Go language, we can use the go-ole library to operate Excel and call Excel formulas through OLE automation technology. First, we need to install the go-ole library and introduce related packages. Then, we can use the methods provided by the go-ole library to create an Excel object and open the specified workbook. Next, we can calculate the probability density function of the standard normal distribution by calling the Evaluate method of the Worksheet object and passing in the formula string. Finally, we can get the calculation result by calling the Value method of the Range object. Through the above steps, we can use the Excel Application.NormDist formula in the Go language.

Question content

I recently encountered the need to migrate an old application written in Excel to the Go language. The application relies on the Application.NormDist function to calculate values.

=Application.NORMDIST(A1,A3,A4,TRUE)

However, I couldn't find any Go library that provides this function, and writing your own would pose challenges without guaranteeing correctness.

Can someone suggest a solution or guide me on how to handle the conversion of the NormDist function from Excel to Go?

Solution

I created a function to calculate the cumulative distribution function (CDF) and probability mass function (Prod) using the distuv package, following Microsoft's guidelineshttps:// support.microsoft.com/en-au/office/normdist-function-126db625-c53e-4591 -9a22-c9ff422d6d58

func NORMDIST(x float64, mean float64, stdDeviation float64, cumulative bool) (float64, error) { if stdDeviation <= 0 { return 0, ErrInvalidStdDev } if mean == 0 && stdDeviation == 1 && cumulative { stdNormalDist := distuv.UnitNormal return stdNormalDist.CDF(x), nil } dist := distuv.Normal{ Mu: mean, Sigma: stdDeviation, } if cumulative { return dist.CDF(x), nil } return dist.Prob(x), nil }

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