- Noun. 1. matric - admission to a group (especially a college or university) matriculation. admission, admittance - the act of admitting someone to enter; the surgery was performed on his second admission to the clinic. Based on WordNet 3.0, Farlex clipart collection. © 2003-2012 Princeton University, Farlex Inc
- In mathematics, a matrix (plural matrices) is a rectangular array or table of numbers, symbols, or expressions, arranged in rows and columns. For example, the dimension of the matrix below is 2 × 3 (read two by three), because there are two rows and three columns: [].Provided that they have the same dimensions (each matrix has the same number of rows and the same number of columns as the.
- Matric definition at Dictionary.com, a free online dictionary with pronunciation, synonyms and translation. Look it up now
- Definition of MATRIC in the Definitions.net dictionary. Meaning of MATRIC. What does MATRIC mean? Information and translations of MATRIC in the most comprehensive dictionary definitions resource on the web
- noun. mass noun informal, dated British, South African. Matriculation. More example sentences. 'I did matric [matriculation] music but I completely refused to play after that.'. 'Those pupils who did reach matric lacked laboratories for science and well-trained mathematics teachers.'

Learning how to calculate your matric points will help you gain entrance into university. You need to do your research on different universities as they differ with their APS score requirements. APS stands for Admission Point Score. An APS score is used by universities to see if learners qualify for particular courses 1. the process of matriculating. 2. (in Britain, except Scotland) a former school examination, which was replaced by the General Certificate of Education ( Ordinary Level), now superseded by the General Certificate of Secondary Education. Collins English Dictionary. Copyright © HarperCollins Publishers Matric definition is - of or relating to a matrix In Northern Indian states, mostly in Bihar and UP 10th Means Matric or Matriculation and 12th means Inter or Intermediat What this means is that if you have been working in a job for some time but you have managed to finish your Matric Certificate you can apply for a further education and training course. the skills you have developed over the years will be taken into consideration when you start the course

- d that when their children make career decisions, theirs is just to support and guide them and that can only.
- Looking for the definition of MATRIC? Find out what is the full meaning of MATRIC on Abbreviations.com! 'Mid Atlantic Technology Research and Innovation Center' is one option -- get in to view more @ The Web's largest and most authoritative acronyms and abbreviations resource
- M =
**mean**(A,vecdim) computes the**mean**based on the dimensions specified in the vector vecdim. For example, if A is a matrix, then**mean**(A, [1 2]) is the**mean**of all elements in A, since every element of a matrix is contained in the array slice defined by dimensions 1 and 2. example - ations that take place at the end of 9th and 10th grades. These exa
- e your ability to apply to university
- istration for the name Matric is Thursday, June 12th, 1924. How unique is the name Matric? From 1880 to 2019 less than 5 people per year have been born with the first name Matric. Hoorah! You are a unique individual. Weird things about the name Matric: The name spelled backwards is Cirtam

* The dilemma of which stream to opt for after 8th grade is real for parents and students alike*. We've designed a set of questions above that will help you determine what suits you more with a percentage of your suitability towards a particular stream. If you're still interested in reading about the key differences, you may refer to the table below The DIPLOMA PASS means that you have passed matric and can study at a University of Technology straight away, but not a University. Like the Higher Certificate Pass, you can upgrade your matric by taking 2 subjects at Futura High School in 2015, so that you can meet the minimum requirements needed to get into the course you want to study in 2016

Dimension to operate along, specified as a positive integer scalar. If no value is specified, then the default is the first array dimension whose size does not equal 1. Dimension dim indicates the dimension whose length reduces to 1. The size (S,dim) is 1 , while the sizes of all other dimensions remain the same Matric is affordable to a vast majority, and thus with many shortcomings cater to the whole country while O level is practically out of reach of the salaried class (people who get a monthly salary). Matric students often indulge in rote learning and prefer to fill the pages in the exams

* Below are descriptions of the matrix operations that this calculator can perform*. Matrix addition. Matrix addition can only be performed on matrices of the same size. This means that you can only add matrices if both matrices are m × n. For example, you can add two or more 3 × 3, 1 × 2, or 5 × 4 matrices 6.5. Tutorials. 6.5.4. Elements of Multivariate Analysis. 6.5.4.1. Mean Vector and Covariance Matrix. The first step in analyzing multivariate data is computing the meanvector and the variance-covariance matrix. Sample data matrix. Consider the following matrix:$$ {\bf X} = \left[ \begin{array}{ccc} 4.0 & 2.0 & 0.60 \\4.2 & 2.1 & 0.59 \\3.9 &.

- The most common way to understand the matric result is to compare it to previous years and assess whether it is improving or worsening. This year's pass rate is 5% below the 2014 pass rate and 7.5% below the 2013 pass rate. Not only does this imply that things are getting worse, it seems to indicate that things are consistently getting worse
- \(> 0\) means that the observation is well grouped. The closer the coefficient is to 1, the better the observation is grouped. \(< 0\) means that the observation has been placed in the wrong cluster. \(= 0\) means that the observation is between two clusters
- We interpret the matrix as a list of 3 column vectors, each of which is 2-dimensional. The matrix is sending <1, 0, 0> to the left vector, <0, 1, 0> to the middle vector, and <0, 0, 1> to the right vector. Because they're being mapped to 2D vectors, the range of the transformation is ℝ²

Matric means Matriculation. Matric is an abbreviation for Matriculation. Share this. Have you found the page useful? Please use the following to spread the word: About | Contact Us Link to Us iOS app | Android Popular Abbreviations Popular Categories. Business Medical Abbreviations Military Abbreviations Technolog Here below we are going to discuss the difference between O-Level and Matric in detail. Keep reading this article till the end will surely add clear information to your knowledge. you get the detailed Difference Between O Level And Matric In Pakistan

in olden days completionof 10 class was known as matriculation.dat means getting 10 certificate is matriculation. 0 0. Ankit. 4 years ago. 10th study is called Matriculation. 0 0. Patrick Pups. 10 years ago. it means a 10th standard pass out. 0 0? Lv 6. 10 years ago!0th Pass. Intermediate is for 12th. 3 0. Rajani. 4 years ago. 10th. 0 0 The dependency observed in such matrix between its columns is actually that same dependency as the dependency between the variables in the data observed after the variables have been centered (their means brought to 0) or standardized (if we mean correlation rather than covariance matrix) Matrix Notation. In order to identify an entry in a matrix, we simply write a subscript of the respective entry's row followed by the column.. In matrix A on the left, we write a 23 to denote the entry in the second row and the third column.. One way to remember that this notation puts rows first and columns second is to think of it like reading a book ** Computing mean of selected matrix rows,**... Learn more about mean, selected rows, value exclusio

When we want to create a reflection image we multiply the vertex matrix of our figure with what is called a reflection matrix. The most common reflection matrices are: for a reflection in the x-axis $$\begin{bmatrix} 1 & 0\\ 0 & -1 \end{bmatrix}$$ for a reflection in the y-axis $$\begin{bmatrix} -1 & 0\\ 0 & 1 \end{bmatrix}$ The purpose of this post is to provide a complete and simplified explanation of Principal Component Analysis, and especially to answer how it works step by step, so that everyone can understand it and make use of it, without necessarily having a strong mathematical background The correlation matrix below shows the correlation coefficients between several variables related to education: Each cell in the table shows the correlation between two specific variables. For example, the highlighted cell below shows that the correlation between hours spent studying and exam score is 0.82 , which indicates that they're strongly positively correlated

Following from this equation, the covariance matrix can be computed for a data set with zero mean with \( C = \frac{XX^T}{n-1}\) by using the semi-definite matrix \(XX^T\). In this article, we will focus on the two-dimensional case, but it can be easily generalized to more dimensional data Make the Confusion Matrix Less Confusing. A confusion matrix is a technique for summarizing the performance of a classification algorithm. Classification accuracy alone can be misleading if you have an unequal number of observations in each class or if you have more than two classes in your dataset. Calculating a confusion matrix can give you a better idea of what your classification mode

- He lives on the below floor means He lives on the floor that we call below. Like, he lives on the top floor or he lives on the ground floor. - Oscar Bravo Mar 4 '19 at 16:05. Add a comment | -2. Usage of the former is often seen in a corporate communication when the author wishes to add a degree of formality or authority to the explanation
- how to calculate means of matrix elements. useR's, I have several matrices of size 4x4 that I want to calculate means of their respective positions with. For example, consider I have 3 matrices given..
- A much better way to evaluate the performance of a classifier is to look at the confusion matrix. The general idea is to count the number of times instances of class A are classified as class B. For example, to know the number of times the classifier confused images of 5s with 3s, you would look in the 5th row and 3rd column of the confusion matrix

- of points around their center of mass (mean) • Variance - measure of the deviation from the mean for points in one dimension e.g. heights • Covariance as a measure of how much each of the dimensions vary from the mean with respect to each other. • Covariance is measured between 2 dimensions to see if there i
- It is a responsibility matrix, called the RACI matrix, which creates a map of responsibilities for process activities. In this post you are going to find out what a RACI matrix is, its meaning, how to make a responsibility matrix, plus some accountability matrix examples, to inspire you. Also see: The 9 principles of business process desig
- Linear means we can multiply by a constant, but no powers or other functions. The constant can be any real number (0, 1, any whole number, fraction, negatives, etc.). Dependence means they depend on each other, in other words we can add some up (after multiplying by a constant) to make another one. Imagine they are vectors (have direction and.

F1 score is the harmonic mean of precision and recall and is a better measure than accuracy. In the pregnancy example, F1 Score = 2* ( 0.857 * 0.75)/(0.857 + 0.75) = 0.799. Reading Lis Matrix är en amerikansk science fiction/actionfilm från 1999 i regi av syskonen Wachowski. Den hade biopremiär i USA den 31 mars 1999. [3. Handling. Datahackern Thomas A. Anderson, alias Neo blir kontaktad av en man som heter Morpheus som påstås vara. For a 3×3 matrix multiply a by the determinant of the 2×2 matrix that is not in a's row or column, likewise for b and c, but remember that b has a negative sign! The pattern continues for larger matrices: multiply a by the determinant of the matrix that is not in a 's row or column, continue like this across the whole row, but remember the + − + − pattern

** Simple guide to confusion matrix terminology**. A confusion matrix is a table that is often used to describe the performance of a classification model (or classifier) on a set of test data for which the true values are known. The confusion matrix itself is relatively simple to understand, but the related terminology can be confusing Here, 'Xc' is a centered-matrix that has the respective column **means** subtracted from each element. Using that as the central component, the covariance matrix 'S' is the product of the transpose of 'Xc`' and 'Xc' itself, which is then divided by the number of items or rows ('n') in the data-matrix The distance matrix based on the Euclidean distance is given below: Suppose that the initial seeds (centers of each cluster) are A1, A4 and A7. Run the k-means algorithm for 1 epoch only. At the end of this epoch show: The new clusters (i.e. the examples belonging to each cluster) The centers of the new cluster

** 82 Chapter 2**. Solving Linear Equations Note 6 A diagonal matrix has an inverse provided no diagonal entries are zero: If A D 2 6 4 d1 dn 3 7 5 then A 1 D 2 6 4 1=d1 1=dn 3 7 5: Example 1 The 2 by 2 matrix A D 12 12 is not invertible. It fails the test in Note 5, because ad bc equals 2 2 D 0 A square matrix has equal numbers of rows and columns. For example, 312 1 34 6 10 2 4 3 5 A:10 is a 3 by 3 square matrix. When we wish to talk about matrices in general terms, it is usual to represent them using uppercase ROMAN BOLD characters: A 24 72 0133 5 171 2 4 3 5 A:11 Individual elements in a matrix are generally referred to using lowercas

so we have matrix D and matrix B and they ask us is DB defined is the product D times B defined so D times B is going to be defined as if let me let me make this very clear this is how I think about it so let me copy and paste it so I can do this on my scratch pad so to answer that question you know a scratch pad right over here let me paste the question right here so let's think about these. The mean method is a reduction operation, meaning it converts a 1-d collection of numbers to a single number. When you apply a reduction to an n-dimensional array along an axis, numpy collapses that dimension to the reduced value, resulting in an (n-1)-dimensional array Defining and understanding what it means to take the product of a matrix and a vector If you're seeing this message, it means we're having trouble loading external resources on our website. If you're behind a web filter, please make sure that the domains *.kastatic.org and *.kasandbox.org are unblocked The matrix plots a company's offerings in a four-square matrix, with the y-axis representing the rate of market growth and the x-axis representing market share

The matrix is said to be an orthogonal matrix if the product of a matrix and its transpose gives an identity value. Before discussing it briefly, let us first know what matrices are. Matrix is a rectangular array of numbers which are arranged in rows and columns. Let us see an example of a 2×3 matrix Picking a column with zeros in it means less pivoting. Picking a one as the pivot makes the numbers smaller, the multiplication easier, and leaves the non-zero elements in a cleared column the same (less pivoting) Pivoting on the main diagonal means you won't have to switch rows to put the matrix into reduced row-echelon form. Do not pivot on a.

4 Programming (K-means) In this problem we will implement K-means clustering. The data provided is a Matlab ﬁle of image data of 5000 handwritten digits. Each digit is a greyscale image of 10 x 10 pixels and is represented as a row vector of length 100. The variable Xcontains all the images in a 5000 x 100 matrix, and the vector Y contains th 3.1 Least squares in matrix form E Uses Appendix A.2-A.4, A.6, A.7. 3.1.1 Introduction More than one explanatory variable In the foregoing chapter we considered the simple regression model where the dependent variable is related to one explanatory variable

That means reshape the image from height x width x channels to (height * width) x channel, i,e we would have 396 x 396 = 156,816 data points in 3-dimensional space which are the intensity of RGB. Doing so will allow us to represent the image using the 30 centroids for each pixel and would significantly reduce the size of the image by a factor of 6 That means each edge (i.e., line) adds 1 to the appropriate cell in the matrix, and each loop adds 2. Thus, using this practice, we can find the degree of a vertex easily just by taking the sum of the values in either its respective row or column in the adjacency matrix Stata has two matrix programming languages, one that might be called Stata's older matrix language and another that is called Mata. Stata's Mata is the new one, and there is an uneasy relationship between the two. Below we discuss Stata's older language and leave the newer one to another manual—the Mat Asking why matrix multiplication isn't just componentwise multiplication is an excellent question: in fact, componentwise multiplication is in some sense the most natural generalization of real multiplication to matrices: it satisfies all of the axioms you would expect (associativity, commutativity, existence of identity and inverses (for matrices with no 0 entries), distributivity over. ? is Mean, N is the total number of elements or frequency of distribution. Example: Let's consider the same dataset that we have taken in average. First, calculate the deviations of each data point from the mean, and square the result of each, Variance in Python Using Numpy: One can calculate the variance by using numpy.var() function in python

The Size of a matrix. Matrices are often referred to by their sizes. The size of a matrix is given in the form of a dimension, much as a room might be referred to as a ten-by-twelve room. The dimensions for a matrix are the rows and columns, rather than the width and length The previous three examples can be summarized as follows. Suppose that T (x)= Ax is a matrix transformation that is not one-to-one. By the theorem, there is a nontrivial solution of Ax = 0. This means that the null space of A is not the zero space. All of the vectors in the null space are solutions to T (x)= 0. If you compute a nonzero vector v in the null space (by row reducing and finding. value could be zero! Then Ax D 0x means that this eigenvector x is in the nullspace. If A is the identity matrix, every vector has Ax D x. All vectors are eigenvectors of I. All eigenvalues lambda are D 1. This is unusual to say the least. Most 2 by 2 matrices have two eigenvector directions and two eigenvalues. We will show that det.A I.

Example 1.5.3 (MA203 Summer 2005, Q1) (a) Find the unique value of t for which the following system has a solution. x1 + x3 x4 = 3 2x1 + 2x2 x3 7x4 = 1 4x1 x2 9x3 5x4 = t 3x1 x2 8x3 6x4 = 1 Solution: First write down the augmented matrix and begin Gauss-Jordan elimination In the graph below, we see how the matrix mapped the short, low line v, to the long, high one, b. You could feed one positive vector after another into matrix A, and each would be projected onto a new space that stretches higher and farther to the right. Imagine that all the input vectors v live in a normal grid, like this If A is a vector, then mean(A) returns the mean of the elements.. If A is a matrix, then mean(A) returns a row vector containing the mean of each column.. If A is a multidimensional array, then mean(A) operates along the first array dimension whose size does not equal 1, treating the elements as vectors. This dimension becomes 1 while the sizes of all other dimensions remain the same

- This matrix which was first developed for school based SLPs. In the following chart Mild, Moderate, Severe, and Profound refers to the severity of the child's speech disorder. Performance falls from 1 to 1.5 standard deviations below the mean standard score
- Well, It is possible to perform K-means clustering on a given similarity matrix, at first you need to center the matrix and then take the eigenvalues of the matrix. The final and the most important step is multiplying the first two set of eigenvectors to the square root of diagonals of the eigenvalues to get the vectors and then move on with K-means
- In the table below, each row shows the current matrix and the elementary row operation to be applied to give the matrix in the next row. The elementary matrix corresponding to the operation is shown in the right-most The matrix \ (M\) represents this (A\). This means that left inverses of square matrices can be found via row reduction.
- Introduction to linear transformationsWatch the next lesson: https://www.khanacademy.org/math/linear-algebra/matrix_transformations/linear_transformations/v/..
- Consider the similarity matrix given below. P1 P2 P3 P4 P5 P6 P1 1.00 0.70 0.65 0.40 0.20 0.05 P2 0.70 1.00 0.95 0.70 0.50 0.35 K-means and complete-link hierarchical clustering do not do well as in the previous question. The problem with single-link clustering is that there are a few points which belong to di eren

The matrix algebra formulas are easy to translate into matrix programming languages like R. Popular spreadsheet programs like Microsoft Excel, which are the workhorse programs of many ﬁnancial houses, can also handle basic matrix calculations. All of this makes it worth-while to become familiar with matrix techniques for portfolio calculations The key piece of physics is the mean value principle: The temperature at equilibrium of a given point in a body at equilibrium is equal to the average temperature of nearby points. To analyze our problem in an elementary way, we discretize it by dividing the square into a grid of many small cells as in the figure below ** K-Means Clustering**. K-means clustering is the most commonly used unsupervised machine learning algorithm for partitioning a given data set into a set of k groups (i.e. k clusters), where k represents the number of groups pre-specified by the analyst. It classifies objects in multiple groups (i.e., clusters), such that objects within the same cluster are as similar as possible (i.e., high intra.

And finally, I have included a number of audio seminars that offer a wider perspective about The Matrix and what it means to live and work outside it. Here are the particulars. These are audio presentations. 55 total hours. * Analyzing Information in the Age of Disinformation (11.5-hours When the left side is the Identity matrix, the right side will be the Inverse [ I | A-1]. If you are unable to obtain the identity matrix on the left side, then the matrix is singular and has no inverse. Take the augmented matrix from the right side and call that the inverse. Shortcut to the Finding the Inverse of a 2×2 Matri

Let Q = X XT be the N x N matrix: Notes: 1. Q is square 2. Q is symmetric 3. Q is the covariancematrix [aka scatter matrix] 4. Q can be very large (in vision, N is often the number of pixels in an image!) PCA Theorem where ei are the n eigenvectors of Q with non-zero eigenvalues. Theorem: Theorem: Each xj can be written as: Notes: 1 The row-echelon form is where the leading (first non-zero) entry of each row has only zeroes below it. These leading entries are called pivots, and an analysis of the relation between the pivots and their locations in a matrix can tell much about the matrix itself. An example of a matrix in row-echelon form is below Med Googles kostnadsfria tjänst kan du översätta ord, fraser och webbsidor mellan engelska och mer än 100 andra språk direkt

In most of the recourses, you could have seen the 2×2 matrix in R. But note that you can create a matrix of any number of class values. You can see the confusion matrix of two class and three class binary models below. This is a two-class binary model shows the distribution of predicted and actual values The rank of complete incidence matrix is (n-1), where n is the number of nodes of the graph. The order of incidence matrix is (n × b), where b is the number of branches of graph. From a given reduced incidence matrix we can draw complete incidence matrix by simply adding either +1, 0, or -1 on the condition that sum of each column should be zero Decision Matrix Analysis is the simplest form of Multiple Criteria Decision Analysis (MCDA), also known as Multiple Criteria Decision Aid or Multiple Criteria Decision Management (MCDM). Sophisticated MCDA can involve highly complex modeling of different potential scenarios, using advanced mathematics

Just multiply matrix A by 1-diag (nofelements) for example if A is a 4x4 matrix, then. mean(A*(1-diag(4)) or A*(1-diag(nrow(A))) This is faster when you need to run the same line of code multiple time I have the following matrix of depth and temperature data (855 rows, 2 col) and would like to take the mean of every 3 rows within each column. For example: [1,] -6.7 18.91 [2,] -5.4 18.91 [3.. Now to take the mean of Rate1 and Rate2 for all 3 months, for each person (Name): First, decide which columns you want to take the mean of. colstoavg <- names(mydt)[3:4] Now we use lapply to take the mean over the columns we want to avg (colstoavg It is possible to name the rows and columns of matrix during creation by passing a 2 element list to the argument dimnames. > x <- matrix(1:9, nrow = 3, dimnames = list(c(X,Y,Z), c(A,B,C))) > x A B C X 1 4 7 Y 2 5 8 Z 3 6 9 These names can be accessed or changed with two helpful functions colnames() and rownames() (Maybe it means just the title of a movie to them?) Although they usually wouldn't ask, I follow-up with an explanation of what a matrix means. I would then scrounge for a clean sheet of paper or anything that can serve the purpose to illustrate how a matrix can be used to set one's mind into focus. A matrix is a table with rows and columns

Free matrix equations calculator - solve matrix equations step-by-step. This website uses cookies to ensure you get the best experience. Arithmetic **Mean** Geometric **Mean** Quadratic **Mean** Median Mode Order Minimum Maximum Probability Mid-Range Range Standard Deviation Variance Lower Quartile Upper Quartile Interquartile Range Midhinge Whether to show the whole matrix, as above or just the non-redundant bits, as below (arguably the 1.00 values in the main diagonal should also be removed). How to format the numbers (for example, best practice is to remove the 0s prior to the decimal places and decimal-align the numbers, as above, but this can be difficult to do in most software) # matrix: mean(as.matrix(m)) # same as before For data frames, you can coerce them to a matrix first (the reason this is by default over columns is because a dataframe can have columns with strings in it, which you can't take the mean of): # data frame mdf <- as.data.frame(m) # mean(mdf) returns column means mean( as.matrix(mdf) ) # one value We work through two methods of finding the characteristic equation for λ, then use this to find two eigenvalues. We use Ax=λx to calculate two eigenvectors,. A perfect example to demonstrate BCG matrix could be the BCG matrix of Pepsico. The company has perfected its product mix over the years according to what's working and what's not. Here are the four quadrants of Pepsico's growth-share matrix: Cash Cows - With a market share of 58.8% in the US, Frito Lay is the biggest cash cow for Pepsico

What is Requirement Traceability Matrix? Requirement Traceability Matrix (RTM) is a document that maps and traces user requirement with test cases. It captures all requirements proposed by the client and requirement traceability in a single document, delivered at the conclusion of the Software devlopement life cycle In plain English then, if a matrix is invertible then it may have a solution. If a matrix's determinant is nonzero, the matrix may have a solution. If the determinant is zero, then the matrix is not invertible and thus does not have a solution because one of the rows can be eliminated by matrix substitution of another row in the matrix A matrix organizational structure is one of the most complicated reporting structures a company can implement. Read on to learn why a company might implement a matrix structure and the advantages.

Matrix definition is - something within or from which something else originates, develops, or takes form. How to use matrix in a sentence. Did You Know Covariance Matrix Calculator. Input the matrix in the text field below in the same format as matrices given in the examples. Click the Calculate! button and find out the covariance matrix of a multivariate sample. The covariance matrix of any sample matrix can be expressed in the following way: where x i is the i'th row of the sample matrix The final and the most important step is multiplying the first two set of eigenvectors to the square root of diagonals of the eigenvalues to get the vectors and then move on with K-means . Below the code shows how to do it. You can change similarity matrix. fpdist is the similarity matrix A measure used to find how much the values in a data set vary from their mean is called as the mean absolute deviation. It is also termed as mean deviation or average absolute deviation. It can be calculated by finding the mean of the values first and then find the difference between each value and the mean It provides that a post-matric scholarship scheme for meritorious students from minority communities would be implemented. The objective of the scheme is to award scholarships to meritorious students belonging to economically weaker sections of minority community so as to provide them better opportunities for higher education, increase their rate of attainment in higher education and enhance their employability

A matrix is a two-dimensional rectangular data set. Thus it can be created using vector input into the matrix function. Also, a matrix is a collection of numbers arranged into a fixed number of rows and columns. The numbers present in the matrix are real numbers. We then carry out the memory replication of the matrix using the matrix function A NQF level 4 is a matric certificate qualification. You could earn your matric certificate by completing your matric final exams. If you can't complete your matric, there are national and FET certificates equivalent to it. Is an NQF Level Qualification Worth it? Having a NQF qualification does give you more opportunities. So yes, it is worth it Create and edit web-based documents, spreadsheets, and presentations. Store documents online and access them from any computer The Data Matrix R Code Row and Column Means > # get row means (3 ways) > rowMeans(X)[1:3] Mazda RX4 Mazda RX4 Wag Datsun 710 29.90727 29.98136 23.5981