<refsynopsisdiv>
<title>Seqüência de Chamamento</title>
<synopsis>
- [N, km, kn, nb] = unique(M)
- [N, km, kn, nb] = unique(M, orient)
- [N, km, kn, nb] = unique(.., "keepOrder")
- [N, km, kn, nb] = unique(.., "uniqueNan")
+ [U, km, ku, nb] = unique(M)
+ [U, km, ku, nb] = unique(M, orient)
+ [U, km, ku, nb] = unique(.., "keepOrder")
+ [U, km, ku, nb] = unique(.., "uniqueNan")
</synopsis>
</refsynopsisdiv>
<refsection role="parameters">
<varlistentry>
<term>M</term>
<listitem>
- <para>vetor ou matriz de números ou strings </para>
+ <para>Vetor, matriz ou hipermatriz de booleanos, números, ou texto.</para>
</listitem>
</varlistentry>
<varlistentry>
</listitem>
</varlistentry>
<varlistentry>
- <term>N</term>
+ <term>U</term>
<listitem>
<para>
<itemizedlist>
<para>
If <varname>orient</varname> is not used: Vector of extracted
<varname>M</varname> components sorted in ascending order.
- If <varname>M</varname> is a row vector, <varname>N</varname> is also
+ If <varname>M</varname> is a row vector, <varname>U</varname> is also
a row vector. In all other <varname>M</varname> cases,
- <varname>N</varname> is a matrix or a column vector.
+ <varname>U</varname> is a column vector.
</para>
</listitem>
<listitem>
</listitem>
</varlistentry>
<varlistentry>
- <term>k</term>
+ <term>km</term>
<listitem>
- <para>
- Vector of indices of first encountered occurences, such that
- <literal>N(i) = M(k(i))</literal> or <literal>N(i,:) = M(k(i),:)</literal>
- or <literal>N(:,i) = M(:,k(i))</literal>.
- </para>
- <para>
- <varname>k</varname> is a row if <varname>M</varname> is a row or if
- <literal>orient="c"</literal> is used. Otherwise it's a column.
- </para>
+ Vector of indices of first encountered occurrences, such that
+ <literal>U = M(km)</literal> or <literal>U = M(km,:)</literal>
+ or <literal>U = M(:,km)</literal>.
+ <para/>
+ <varname>km</varname> is a row if <varname>M</varname> is a row or if
+ <literal>orient="c"</literal> is used. Otherwise it's a column.
+ <para/>
</listitem>
</varlistentry>
<varlistentry>
- <term>kn</term>
+ <term>ku</term>
<listitem>
- Not yet implemented.
- Vector of indices of first encountered occurrences, such that
- <literal>M(i) = N(kn(i))</literal> or <literal>M(i,:) = N(kn(i),:)</literal>
- or <literal>M(:,i) = N(:,kn(i))</literal>.
+ Array of indices in U, such that, according to the <varname>orient</varname> option
+ <itemizedlist>
+ <listitem>
+ "*": <varname>ku</varname> is of size size(M), and <literal>U(ku) = M</literal>
+ </listitem>
+ <listitem>
+ "r": <varname>ku</varname> is of size [size(M,1), 1], and <literal>U(ku,:) = M</literal>
+ </listitem>
+ <listitem>
+ "c": <varname>ku</varname> is of size [1, size(M,2)], and <literal>U(:,ku) = M</literal>
+ </listitem>
+ </itemizedlist>
<para/>
</listitem>
</varlistentry>
<para>
Vector of integers > 0, with the same <varname>k</varname> shape:
Numbers of occurences in <varname>M</varname> of respective unduplicated
- entities (components, rows, columns) returned in <varname>N</varname>.
+ entities (components, rows, columns) returned in <varname>U</varname>.
</para>
</listitem>
</varlistentry>
<literal>"uniqueNan"</literal> is used. Specifying
<literal>"uniqueNan"</literal> is case-insensitive.
</para>
+ <para>
+ For booleans, <literal>unique(…)</literal> is useful mainly with the "r" or "c" options.
+ </para>
+ <para>
+ <note>
+ Complex numbers are sorted first by increasing magnitudes, then by increasing
+ phases on [-π,π].
+ </note>
+ </para>
</refsection>
<refsection role="description">
<title>Exemplos</title>
<screen><![CDATA[
--> c = [1+i, 1-i, -i, i, -i, 1+i]
c =
- 1. + i 1. - i -i i -i 1. + i
+ 1. + i 1. - i 0. - i 0. + i 0. - i 1. + i
--> [u, k] = unique(c)
u =
- -i i 1. - i 1. + i
-
+ 0. - i 0. + i 1. - i 1. + i
k =
3. 4. 2. 1.
+
+--> [uc, kc] = unique(c, "c")
+ uc =
+ 0. - i 0. + i 1. - i 1. + i
+ kc =
+ 3. 4. 2. 1.
]]></screen>
<para>With some texts:</para>
]
u = unique(t)'
[u, kt, ku, nb] = unique(t(1,:))
-[u, kt] = unique(t(1,:), "keepOrder") // Keeping the original order of row#1 elements
+[u, kt] = unique(t(1,:), "keepOrder") // In original order of row#1 elements
[uc, ktc, kuc, nb] = unique(t, "c")
-[uc, ktc, kuc, nb] = unique(t, "c", "keepOrder") // Keeping the original order of columns
+[uc, ktc, kuc, nb] = unique(t, "c", "keepOrder") // In original order of columns
+[and(t(:,ktc)==uc), and(uc(:,kuc)==t) ]
]]></programlisting>
<screen><![CDATA[
--> t = ["BA" "BB" "AB" "BA" "AB" "BA" "AB" "AB" "BA" "AA" "AB" "BA" "BA" "BA" "AA"
nb =
2. 1. 1. 3. 2. 1. 3. 1. 1.
+
+--> [and(t(:,ktc)==uc), and(uc(:,kuc)==t) ]
+ ans =
+ T T
]]></screen>
<para/>
<para>With Nan (and Inf) values. "uniqueNan" option:</para>
<revdescription>
<itemizedlist>
<listitem>
+ Extension to booleans.
+ </listitem>
+ <listitem>
"keepOrder" and "uniqueNan" options introduced.
</listitem>
<listitem>
</itemizedlist>
</revdescription>
</revision>
+ <revision>
+ <revnumber>6.1.1</revnumber>
+ <revdescription>
+ ku 3rd output implemented.
+ </revdescription>
+ </revision>
</revhistory>
</refsection>
</refentry>
projects / scilab.git / blobdiff