What symbols are used to express an empty cell in a matrix? - matlab

I am wondering what symbols are typically used to express an empty cell in a matrix. I realize that for each language and software it is different.
For MatLab: I've come across NaN or [] if the matrix is written using cell arrays like so:
>> a{2,2}=[]
a =
[1] [2]
[3] []
I think in LaTeX form, when the rows of elements are listed separated by the & symbol you would just use &(space)& to indicate an empty cell.
I'm wondering how does Mathematica express empty cells in their matrices along with other program used to do calculation on matrices.
I realize that in some cases 0's are used to express no connectivity but I'm talking about matrices (or block designs) where connectivity is not relevant and the number 0 doesn't really occur often or in some cases not at all.
I would also like to know what my best option is for empty fields if someone were to send me a covering design for example:
1,2,3,4,5
1,2,3,4,6
1,2,3,4,7
1,2,3,4,8
Where each element is separated by a delimiter (comma in this case). If their block sizes are not uniform, should I just read an empty cell as two commas together?
1,2,,4,5
Or even a comma + space
1,2, ,4,5
Also, please correct me if any of these are wrong.
The reason why I would like to know this is because I am trying to create a regex validation expression which only allows matrix forms. Which only permits matrices from all (or as many) languages and softwares.

Probably you mean the Null symbol:
Null is a symbol used to indicate the absence of an expression or a result. It is not displayed in ordinary output.
Expressions like f[e1,,e2] are interpreted to have Null between each pair of adjacent commas.
In lists:
{1, , 3} // InputForm
{1, Null, 3}
{{1,2,,4,5},
{1,2,3,4,6},
{1,2,3,4,7},
{1,2,3,4,8}}//MatrixForm
Relevant Tutorial page: "Vectors and Matrices".

Related

Sum(X,dim) doesnot work after I load MAT file [duplicate]

The following error occurs quite frequently:
Subscript indices must either be real positive integers or logicals
I have found many questions about this but not one with a really generic answer. Hence I would like to have the general solution for dealing with this problem.
Subscript indices must either be real positive integers or logicals
In nearly all cases this error is caused by one of two reasons. Fortunately there is an easy check for this.
First of all make sure you are at the line where the error occurs, this can usually be achieved by using dbstop if error before you run your function or script. Now we can check for the first problem:
1. Somewhere an invalid index is used to access a variable
Find every variable, and see how they are being indexed. A variable being indexed is typically in one of these forms:
variableName(index,index)
variableName{index,index}
variableName{indices}(indices)
Now simply look at the stuff between the brackets, and select every index. Then hit f9 to evaluate the result and check whether it is a real positive integer or logical. Visual inspection is usually sufficient (remember that acceptable values are in true,false or 1,2,3,... BUT NOT 0) , but for a large matrix you can use things like isequal(index, round(index)), or more exactly isequal(x, max(1,round(abs(x)))) to check for real positive integers. To check the class you can use class(index) which should return 'logical' if the values are all 'true' or 'false'.
Make sure to check evaluate every index, even those that look unusual as per the example below. If all indices check out, you are probably facing the second problem:
2. A function name has been overshadowed by a user defined variable
MATLAB functions often have very intuitive names. This is convenient, but sometimes results in accidentally overloading (builtin) functions, i.e. creating a variable with the same name as a function for example you could go max = 9 and for the rest of you script/function Matlab will consider max to be a variable instead of the function max so you will get this error if you try something like max([1 8 0 3 7]) because instead of return the maximum value of that vector, Matlab now assumes you are trying to index the variable max and 0 is an invalid index.
In order to check which variables you have you can look at the workspace. However if you are looking for a systematic approach here is one:
For every letter or word that is followed by brackets () and has not been confirmed to have proper indices in step 1. Check whether it is actually a variable. This can easily be done by using which.
Examples
Simple occurrence of invalid index
a = 1;
b = 2;
c = 3;
a(b/c)
Here we will evaluate b/c and find that it is not a nicely rounded number.
Complicated occurrence of invalid index
a = 1;
b = 2;
c = 3;
d = 1:10;
a(b+mean(d(cell2mat({b}):c)))
I recommend working inside out. So first evaluate the most inner variable being indexed: d. It turns out that cell2mat({b}):c, nicely evaluates to integers. Then evaluate b+mean(d(cell2mat({b}):c)) and find that we don't have an integer or logical as index to a.
Here we will evaluate b/c and find that it is not a nicely rounded number.
Overloaded a function
which mean
% some directory\filename.m
You should see something like this to actually confirm that something is a function.
a = 1:4;
b=0:0.1:1;
mean(a) = 2.5;
mean(b);
Here we see that mean has accidentally been assigned to. Now we get:
which mean
% mean is a variable.
In Matlab (and most other programming languages) the multiplication sign must always be written. While in your math class you probably learned that you can write write a(a+a) instead of a*(a+a), this is not the same in matlab. The first is an indexing or function call, while the second is a multiplication.
>> a=0
a =
0
>> a*(a+a)
ans =
0
>> a(a+a)
Subscript indices must either be real
positive integers or logicals.
Answers to this question so far focused on the sources of this error, which is great. But it is important to understand the powerful yet very intuitive feature of matrix indexing in Matlab. Hence how indexing works and what is a valid index would help avoid this error in the first place by using valid indices.
At its core, given an array A of length n, there are two ways of indexing it.
Linear indexing: with subset of integers from 1 : n (duplicates allowed). 0 is not allowed, as Matlab arrays are 1-based, unless you use the method below. For higher-dimensional arrays, multiple subscripts are internally converted into a linear index, although in an efficient and transparent manner.
Logical indexing:wherein you use a n-length array of 0s and 1s, to pick those elements where indexing is true. In this case, unique(index) must have only 0 and 1.
So a valid indexing array into another array with n number of elements ca be:
entirely logical of the same size, or
linear with subsets of integers from 1:n
Keeping this in mind, invalid indexing error occurs when you mix the two types of indexing: one or more zeros occur in your linearly indexing array, or you mix 0s and 1s with anything other than 0s and 1s :)
There is tons of material online to learn this including this one:
http://www.mathworks.com/company/newsletters/articles/matrix-indexing-in-matlab.html

Dimensions of matrices being concatenated are not consistent using array with characters

I'm trying to initialize
labels =['dh';'Dh';'gj';'Gj';'ll';'Ll';'nj';'Nj';'rr';'Rr';'sh';'Sh';'th';'Th';'xh';'Xh';'zh';'Zh';'ç';'Ç';'ë';'Ë'];
But it shows me the error on title.When I try with numbers it's all perfect but not with characters.What could be the problem?
If you wish to eliminate any padding, you can also store it into a cell as follows.
labels = {'dh';'Dh';'gj';'Gj';
'll';'Ll';'nj';'Nj';
'rr';'Rr';'sh';'Sh';
'th';'Th';'xh';'Xh';
'zh';'Zh';'ç';'Ç';
'ë';'Ë'};
Then you can reference the "i"th element using labels{i} instead of labels(i,:) which is simpler. You can further run more string operations using cellfun and not interfere with any existing values that you've stored.
I agree with krisdestruction that using a cell array makes the code accessing the strings simpler and is generally more idiomatic. That is what I would also recommend unless there is a compelling reason to do something else.
For completeness, you could use the char function to add the padding automatically for you if you really want a character array:
>> char('aa','bb','c')
ans =
aa
bb
c
where the last row is 'c '. From the char documentation:
S = char(A1,...,AN) converts the arrays A1,...,AN into a single character array. After conversion to characters, the input arrays become rows in S. Each row is automatically padded with blanks as needed. An empty string becomes a row of blanks.
(Emphasis mine)
From the Mathworks documentation:
Apply the MATLAB concatenation operator, []. Separate each row with a semicolon (;). Each row must contain the same number of characters. For example, combine three strings of equal length:
You can try padding like this to make every row 2 characters:
labels = ['dh';'Dh';'gj';'Gj';
'll';'Ll';'nj';'Nj';
'rr';'Rr';'sh';'Sh';
'th';'Th';'xh';'Xh';
'zh';'Zh';'ç ';'Ç ';
'ë ';'Ë '];

When to use a cell, matrix, or table in Matlab

I am fairly new to matlab and I am trying to figure out when it is best to use cells, tables, or matrixes to store sets of data and then work with the data.
What I want is to store data that has multiple lines that include strings and numbers and then want to work with the numbers.
For example a line would look like
'string 1' , time, number1, number 2
. I know a matrix works best if al elements are numbers, but when I use a cell I keep having to convert the numbers or strings to a matrix in order to work with them. I am running matlab 2012 so maybe that is a part of the problem. Any help is appreciated. Thanks!
Use a matrix when :
the tabular data has a uniform type (all are floating points like double, or integers like int32);
& either the amount of data is small, or is big and has static (predefined) size;
& you care about the speed of accessing data, or you need matrix operations performed on data, or some function requires the data organized as such.
Use a cell array when:
the tabular data has heterogeneous type (mixed element types, "jagged" arrays etc.);
| there's a lot of data and has dynamic size;
| you need only indexing the data numerically (no algebraic operations);
| a function requires the data as such.
Same argument for structs, only the indexing is by name, not by number.
Not sure about tables, I don't think is offered by the language itself; might be an UDT that I don't know of...
Later edit
These three types may be combined, in the sense that cell arrays and structs may have matrices and cell arrays and structs as elements (because thy're heterogeneous containers). In your case, you might have 2 approaches, depending on how you need to access the data:
if you access the data mostly by row, then an array of N structs (one struct per row) with 4 fields (one field per column) would be the most effective in terms of performance;
if you access the data mostly by column, then a single struct with 4 fields (one field per column) would do; first field would be a cell array of strings for the first column, second field would be a cell array of strings or a 1D matrix of doubles depending on how you want to store you dates, the rest of the fields are 1D matrices of doubles.
Concerning tables: I always used matrices or cell arrays until I
had to do database related things such as joining datasets by a unique key; the only way I found to do this in was by using tables. It takes a while to get used to them and it's a bit annoying that some functions that work on cell arrays don't work on tables vice versa. MATLAB could have done a better job explaining when to use one or the other because it's not super clear from the documentation.
The situation that you describe, seems to be as follows:
You have several columns. Entire columns consist of 1 datatype each, and all columns have an equal number of rows.
This seems to match exactly with the recommended situation for using a [table][1]
T = table(var1,...,varN) creates a table from the input variables,
var1,...,varN . Variables can be of different sizes and data types,
but all variables must have the same number of rows.
Actually I don't have much experience with tables, but if you can't figure it out you can always switch to using 1 cell array for the first column, and a matrix for all others (in your example).

Using trapz to integrate a column vector [duplicate]

The following error occurs quite frequently:
Subscript indices must either be real positive integers or logicals
I have found many questions about this but not one with a really generic answer. Hence I would like to have the general solution for dealing with this problem.
Subscript indices must either be real positive integers or logicals
In nearly all cases this error is caused by one of two reasons. Fortunately there is an easy check for this.
First of all make sure you are at the line where the error occurs, this can usually be achieved by using dbstop if error before you run your function or script. Now we can check for the first problem:
1. Somewhere an invalid index is used to access a variable
Find every variable, and see how they are being indexed. A variable being indexed is typically in one of these forms:
variableName(index,index)
variableName{index,index}
variableName{indices}(indices)
Now simply look at the stuff between the brackets, and select every index. Then hit f9 to evaluate the result and check whether it is a real positive integer or logical. Visual inspection is usually sufficient (remember that acceptable values are in true,false or 1,2,3,... BUT NOT 0) , but for a large matrix you can use things like isequal(index, round(index)), or more exactly isequal(x, max(1,round(abs(x)))) to check for real positive integers. To check the class you can use class(index) which should return 'logical' if the values are all 'true' or 'false'.
Make sure to check evaluate every index, even those that look unusual as per the example below. If all indices check out, you are probably facing the second problem:
2. A function name has been overshadowed by a user defined variable
MATLAB functions often have very intuitive names. This is convenient, but sometimes results in accidentally overloading (builtin) functions, i.e. creating a variable with the same name as a function for example you could go max = 9 and for the rest of you script/function Matlab will consider max to be a variable instead of the function max so you will get this error if you try something like max([1 8 0 3 7]) because instead of return the maximum value of that vector, Matlab now assumes you are trying to index the variable max and 0 is an invalid index.
In order to check which variables you have you can look at the workspace. However if you are looking for a systematic approach here is one:
For every letter or word that is followed by brackets () and has not been confirmed to have proper indices in step 1. Check whether it is actually a variable. This can easily be done by using which.
Examples
Simple occurrence of invalid index
a = 1;
b = 2;
c = 3;
a(b/c)
Here we will evaluate b/c and find that it is not a nicely rounded number.
Complicated occurrence of invalid index
a = 1;
b = 2;
c = 3;
d = 1:10;
a(b+mean(d(cell2mat({b}):c)))
I recommend working inside out. So first evaluate the most inner variable being indexed: d. It turns out that cell2mat({b}):c, nicely evaluates to integers. Then evaluate b+mean(d(cell2mat({b}):c)) and find that we don't have an integer or logical as index to a.
Here we will evaluate b/c and find that it is not a nicely rounded number.
Overloaded a function
which mean
% some directory\filename.m
You should see something like this to actually confirm that something is a function.
a = 1:4;
b=0:0.1:1;
mean(a) = 2.5;
mean(b);
Here we see that mean has accidentally been assigned to. Now we get:
which mean
% mean is a variable.
In Matlab (and most other programming languages) the multiplication sign must always be written. While in your math class you probably learned that you can write write a(a+a) instead of a*(a+a), this is not the same in matlab. The first is an indexing or function call, while the second is a multiplication.
>> a=0
a =
0
>> a*(a+a)
ans =
0
>> a(a+a)
Subscript indices must either be real
positive integers or logicals.
Answers to this question so far focused on the sources of this error, which is great. But it is important to understand the powerful yet very intuitive feature of matrix indexing in Matlab. Hence how indexing works and what is a valid index would help avoid this error in the first place by using valid indices.
At its core, given an array A of length n, there are two ways of indexing it.
Linear indexing: with subset of integers from 1 : n (duplicates allowed). 0 is not allowed, as Matlab arrays are 1-based, unless you use the method below. For higher-dimensional arrays, multiple subscripts are internally converted into a linear index, although in an efficient and transparent manner.
Logical indexing:wherein you use a n-length array of 0s and 1s, to pick those elements where indexing is true. In this case, unique(index) must have only 0 and 1.
So a valid indexing array into another array with n number of elements ca be:
entirely logical of the same size, or
linear with subsets of integers from 1:n
Keeping this in mind, invalid indexing error occurs when you mix the two types of indexing: one or more zeros occur in your linearly indexing array, or you mix 0s and 1s with anything other than 0s and 1s :)
There is tons of material online to learn this including this one:
http://www.mathworks.com/company/newsletters/articles/matrix-indexing-in-matlab.html

Numeric and Alphabetic symbols in same matrx

I'm working on a model to use matlab as graphical representation for other model. Therefore I'd like to have a matrix that can be updated with both letters and numbers. Numbers will represent a speed while for example '-' may represent a empty section. In the matlab documentation and on internet I found a lot of interesting tips, but not what I need.
Thanks in advance!
You cannot represent data of numeric type (integers/floating points) and data of char type in a matrix. However, you can, use cells, which are similar to matrices, and can hold different data types in each cell. Here's an example.
A={[1 2 3],'hello';'world',[4,5,6]'}
A =
[1x3 double] 'hello'
'world' [3x1 double]
Here the first cell contains a row vector, the second and third cells contain strings and the fourth cell contains a column vector. Indexing into a cell is similar to that of arrays, with one minor difference: use {} to group the indices. e.g., to access the element in the second row, first column, do
A{2,1}
ans =
world
You can also access an element of an array inside a cell like
A{2,2}(2)
ans =
5
If you're wanting to store mixtures of numeric and character type data, yoda has the correct suggestion: use cell arrays.
However, based on the example you described you may have another option. If the character entries in your matrix are there for the purpose of identifying "missing data", it may make more sense to use a purely numeric matrix containing unique values like NaN or Inf to identify data points that are empty or where data is not available.
When performing operations on your matrix, you would then have to index only elements that are finite (using, for example, ISFINITE) and perform your calculations on them. There are even some functions in the Statistics Toolbox that will perform operations ignoring NaN values. This may be a cleaner way to go since you can keep your matrix as a numeric type ('single' or 'double' precision) instead of having to mess with cell arrays.