Statistics
Analyze data sets and compute statistical metrics accurately.
Statistics functions are fundamental for analyzing data and drawing meaningful conclusions. Calcul.io offers a wide range of statistical functions including mean, median, mode, standard deviation, variance, correlation, and regression analysis. These functions are essential for research, data science, and business analytics.
Our statistics functions enable you to interpret data, identify trends, and make data-driven decisions. Whether you are conducting surveys, performing quality control, or analyzing experimental results, Calcul.io provides the robust statistical tools you need for accurate and insightful analysis.
| corr | Compute the correlation coefficient of a two list with values, For matrices, the matrix correlation coefficient is calculated. |
| cumsum | Compute the cumulative sum of all values. |
| mad | Compute the median absolute deviation of a matrix or a list with values. The median absolute deviation is defined as the median of the absolute deviations from the median. |
| max | Compute the maximum value of a list of values. |
| mean | Compute the arithmetic mean of a list of values. |
| median | Compute the median of all values. The values are sorted and the middle value is returned. In case of an even number of values, the average of the two middle values is returned. |
| min | Compute the minimum value of a list of values. |
| mode | Computes the mode of all values as an array. In case mode being more than one, multiple values are returned in an array. |
| prod | Compute the product of all values. |
| quantileSeq | Compute the prob order quantile of a matrix or a list with values. The sequence is sorted and the middle value is returned. Supported types of sequence values are: Number, BigNumber, Unit Supported types of probablity are: Number, BigNumber. \n\nIn case of a (multi dimensional) array or matrix, the prob order quantile of all elements will be calculated. |
| std | Compute the standard deviation of all values, defined as std(A) = sqrt(variance(A)). Optional parameter normalization can be "unbiased" (default), "uncorrected", or "biased". |
| sum | Compute the sum of all values. |
| variance | Compute the variance of all values. Optional parameter normalization can be "unbiased" (default), "uncorrected", or "biased". |