2.13.1.11 mmoments(Pro)
Brief Information
Compute moments on matrix data
Additional Information
This feature is for OriginPro only.
Command Line Usage
1. mmoments im:=MBook1;
2. mmoments im:=MBook1 mean:=mymean;
X-Function Execution Options
Please refer to the page for additional option switches when accessing the x-function from script
Variables
Display
Name
|
Variable
Name
|
I/O
and
Type
|
Default
Value
|
Description
|
| Input Matrix
|
im
|
Input
MatrixObject
|
<active>
|
Specifies the input data range
|
| Mean
|
mean
|
Output
double
|
<unassigned>
|
The variable specifies the output for the arithmetic average.
|
| Standard Deviation
|
sd
|
Output
double
|
<unassigned>
|
The variable specifies the output for the standard deviation, which is a statistical measure of the distance a quantity is likely to lie from the average value of a group of data.
|
| SE of Mean
|
se
|
Output
double
|
<unassigned>
|
The variable specifies the output for the standard error of the mean, which is used to estimate the deviation of the population mean.
|
| Number of Observations
|
n
|
Output
int
|
<unassigned>
|
The variable specifies the output for the number of valid observations
|
| Sum
|
sum
|
Output
double
|
<unassigned>
|
The variable specifies the output for the arithmetic sum of selected dataset
|
| Skewness
|
skewness
|
Output
double
|
<unassigned>
|
The variable specifies the output for skewness, which reveals the symmetry of sample distribution. A positive skewness implies the distribution curve skew to right while a negative value indicates the curve skew to left
|
| Kurtosis
|
kurtosis
|
Output
double
|
<unassigned>
|
The variable specifies the output for kurtosis, which indicates how flat or peaked a distribution is. Negative values correspond to flat distributions, while positive values correspond to peaked distributions.
|
| Coefficient of Variation
|
cv
|
Output
double
|
<unassigned>
|
The variable specifies the coefficient of variation, which gives a measure of how dispersed a dataset is. This measure can be used to compare distributions of different sizes and with different means.
|
Description
The "moments" command displays the mean, standard deviation, and other summary statistics of a given dataset. moments are used to describe certain basic features of the data in a study.
The X-function of mmoments is used to compute the summary statistics of a Matrix object. It can give out the mean, standard deviation, standard error, kurtosis, skewness, and coefficient of variation of the specified Matrix.
Examples
1. List all input and output results of descriptive statistics of given Matrix
mmoments im:=MBook1;
2. To return the standard deviation of given Matrix from the Command Window, type the following:
mmoments im:=MBook1 sd:=mysd; mysd=
Algorithm
Let  for  denotes the input value, then:
1. Mean is computed using the following equation: 
2. Standard deviation is computed as follows: 
3. Standard error is computed as: 
4. Sample size is the total number of valid values in a data set
5. Sum is computed using following equation: 
6. Skewness is computed as: 
7. Kurtosis is computed as: 
8. Coefficient of variance is computed as: 
References
Silverman, B.W. (1986), Density Estimation for Statistics and Data Analysis. New York: Chapman and Hall.
Tukey, J.W. (1977), Exploratory Data Analysis. Reading, MA: Addison-Wesley.
Erickson, B.H. and Nosanchuk, T.A. (1992) Understanding Data. Second Edition. Buckingham: Open University Press.
Related X-Functions
stats, quantiles, rowstats, rowquantiles, mquantiles
Keywords:summary statistics, mean, median, standard deviation, skewness, kurtosis
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