R Graphing - Revision history

Rb: /* Combining Multiple Plots */

2016-04-24T16:48:33Z

‎Combining Multiple Plots

Rb at 16:46, 24 April 2016

2016-04-24T16:46:57Z

Rb: /* Combining Multiple Plots */

2016-04-24T16:45:38Z

‎Combining Multiple Plots

Rb at 16:43, 24 April 2016

2016-04-24T16:43:26Z

Rb at 16:42, 24 April 2016

2016-04-24T16:42:20Z

Rb at 16:40, 24 April 2016

2016-04-24T16:40:44Z

Rb: /* Graph customisation I */

2015-08-06T21:12:26Z

‎Graph customisation I

Rb: /* Using a conditioning variable */

2015-08-06T21:11:23Z

‎Using a conditioning variable

Rb: /* Graph customisation I */

2015-08-06T21:11:08Z

‎Graph customisation I

Rb: /* Scatterplots */

2015-07-26T20:18:38Z

‎Scatterplots

@@ Line 132: / Line 132: @@
 </pre>
-[[File:Multiple1.jpeg|frame|none|alt=|Scatterplot with Groups by color]]
+[[File:Multiple1.jpeg|frame|none|alt=|Plot Combination Example 1]]
 You can also arrange mutiple plots in a more irregular fashion. You should then use the <code>layout</code> command. While we will not provide any details here, we do provide an example. In practice you will have to read <code>?layout</code> and experiment a little.
@@ Line 144: / Line 144: @@
 </pre>
-[[File:Multiple2.jpeg|frame|none|alt=|Scatterplot with Groups by color]]
+[[File:Multiple2.jpeg|frame|none|alt=|Plot Combination Example 2]]

@@ Line 132: / Line 132: @@
 </pre>
 You can also arrange mutiple plots in a more irregular fashion. You should then use the <code>layout</code> command. While we will not provide any details here, we do provide an example. In practice you will have to read <code>?layout</code> and experiment a little.
@@ Line 142: / Line 143: @@
 plot(mydata$years)
 </pre>

@@ Line 127: / Line 127: @@
 par(mfrow=c(2,2))
 plot(mydata$games)
 hist(mydata$lsalary)
 boxplot(mydata$games)
 plot(mydata$years)
 </pre>

@@ Line 122: / Line 122: @@
 = Combining Multiple Plots =
-Sometimes you want to combine multiple graphs in one picture. We best explain what we need by using an example. Let's say we want to arrange 4 plots in a (2,2) matrix, then we use the <code>par(mfrow=c(2,2))<\code> command. The next four plots are then used to fill the four slots:
+Sometimes you want to combine multiple graphs in one picture. We best explain what we need by using an example. Let's say we want to arrange 4 plots in a (2,2) matrix, then we use the <code>par(mfrow=c(2,2))</code> command. The next four plots are then used to fill the four slots:
 <pre class="r">

← Older revision		Revision as of 16:42, 24 April 2016
Line 122:		Line 122:
	= Combining Multiple Plots =		= Combining Multiple Plots =

−	Sometimes you want to combine multiple graphs in one picture. We best explain what we need by using an example. Let's say we want to arrange 4 plots in a (2,2) matrix, then we use the `par(mfrow=c(2,2))` command. The next four plots are then used to fill the four slots:	+	Sometimes you want to combine multiple graphs in one picture. We best explain what we need by using an example. Let's say we want to arrange 4 plots in a (2,2) matrix, then we use the <code>par(mfrow=c(2,2))<\code> command. The next four plots are then used to fill the four slots:
		+
		+	<pre class="r">
		+	par(mfrow=c(2,2))
		+	plot(mydata$games)
		+	hist(mydata$lsalary)
		+	boxplot(mydata$games)
		+	plot(mydata$years)
		+	</pre>

← Older revision		Revision as of 16:40, 24 April 2016
Line 119:		Line 119:

	Again, we will not explain everything in detail, just a few notes. <code>pch</code> controls the type of symbol used. <code>pch=16</code> represents solid round symbols. Check [http://www.endmemo.com/program/R/pchsymbols.php here] for a list of all choices you have, just play around. The color control comes through the <code>par.settings</code> option. These are the things you will have t play with a bit. Sometimes it is also useful to just look at a few examples to see what is possible. A good place is [https://fas-web.sunderland.ac.uk/~cs0her/Statistics/UsingLatticeGraphicsInR.htm this].		Again, we will not explain everything in detail, just a few notes. <code>pch</code> controls the type of symbol used. <code>pch=16</code> represents solid round symbols. Check [http://www.endmemo.com/program/R/pchsymbols.php here] for a list of all choices you have, just play around. The color control comes through the <code>par.settings</code> option. These are the things you will have t play with a bit. Sometimes it is also useful to just look at a few examples to see what is possible. A good place is [https://fas-web.sunderland.ac.uk/~cs0her/Statistics/UsingLatticeGraphicsInR.htm this].
		+
		+	= Combining Multiple Plots =
		+
		+	Sometimes you want to combine multiple graphs in one picture. We best explain what we need by using an example. Let's say we want to arrange 4 plots in a (2,2) matrix, then we use the `par(mfrow=c(2,2))` command. The next four plots are then used to fill the four slots:

@@ Line 61: / Line 61: @@
 [[File:RGraphIntro2.png|frame|none|alt=|Histogram]]
-The additional elements in this call are <code>n=20, main=&quot;Histogram of Salary&quot;</code>. We call these options which you handed over to the <code>histogram</code> function. <code>nint</code> controls how many bins the histogram should have and <code>main</code> gives your graph a title.
+The additional elements in this call are <code>nint=20, main=&quot;Histogram of Salary&quot;</code>. We call these options which you handed over to the <code>histogram</code> function. <code>nint</code> controls how many bins the histogram should have and <code>main</code> gives your graph a title.
 === Using a conditioning variable ===

@@ Line 74: / Line 74: @@
 Now we can use this variable to create histograms conditional the value of the factor/conditional variable <code>race</code>.
-<pre class="r">histogram(~ games | race, data = mydata, n=10, main=&quot;Histogram of Games&quot;)</pre>
+<pre class="r">histogram(~ games | race, data = mydata, nint=10, main=&quot;Histogram of Games&quot;)</pre>
 [[File:GraphIntro3.png|frame|none|alt=|Histogram for subsets of data]]

@@ Line 58: / Line 58: @@
 Every different graph has different customisation options. For instance we will soon see how to change the number of bins in the histogram, but not all graphs have bins like a histogram. So if you want to change specific things about a graph you will have to check what can be changed. The way to find out is to use our friend Dr. Google and/or the help function (type <code>?histogram</code> into the command window).
-<pre class="r">histogram(~ games, data = mydata, n=50, main=&quot;Histogram of Games&quot;)</pre>
+<pre class="r">histogram(~ games, data = mydata, nint=50, main=&quot;Histogram of Games&quot;)</pre>
 [[File:RGraphIntro2.png|frame|none|alt=|Histogram]]
-The additional elements in this call are <code>n=20, main=&quot;Histogram of Salary&quot;</code>. We call these options which you handed over to the <code>histogram</code> function. <code>n</code> controls how many bins the histogram should have and <code>main</code> gives your graph a title.
+The additional elements in this call are <code>n=20, main=&quot;Histogram of Salary&quot;</code>. We call these options which you handed over to the <code>histogram</code> function. <code>nint</code> controls how many bins the histogram should have and <code>main</code> gives your graph a title.
 === Using a conditioning variable ===

@@ Line 100: / Line 100: @@
 <pre class="r">xyplot(salary~ games, data = mydata, main=&quot;Relation between games and salary&quot;)</pre>
-[[File:figure/unnamed-chunk-13-1.png|frame|none|alt=|caption plot of chunk unnamed-chunk-13]]
+[[File:RGraphIntro6.png|frame|none|alt=|Scatterplot]]
 === using data groupings ===
@@ Line 107: / Line 107: @@
 <pre class="r">xyplot(salary~ games, data = mydata, groups = race, auto.key=list(space=&quot;right&quot;),main=&quot;Relation between games and salary&quot;)</pre>
-[[File:figure/unnamed-chunk-14-1.png|frame|none|alt=|caption plot of chunk unnamed-chunk-14]]
+[[File:RGraphIntro7.png|frame|none|alt=|Scatterplot with Groups by color]]
 You can see that the option <code>auto.key=list(space=&quot;right&quot;)</code> placed the legend on the right hand side of the graph.
@@ Line 116: / Line 116: @@
 <pre class="r">xyplot(salary~ games, data = mydata, groups = race, auto.key=list(space=&quot;right&quot;), main=&quot;Relation between games and salary&quot;, pch = 16, par.settings = list(superpose.symbol = list(col=c(&quot;red&quot;,&quot;blue&quot;,&quot;green&quot;))))</pre>
-[[File:figure/unnamed-chunk-15-1.png|frame|none|alt=|caption plot of chunk unnamed-chunk-15]]
+[[File:RGraphIntro8.png|frame|none|alt=|Scatterplot with Groups by color]]
 Again, we will not explain everything in detail, just a few notes. <code>pch</code> controls the type of symbol used. <code>pch=16</code> represents solid round symbols. Check [http://www.endmemo.com/program/R/pchsymbols.php here] for a list of all choices you have, just play around. The color control comes through the <code>par.settings</code> option. These are the things you will have t play with a bit. Sometimes it is also useful to just look at a few examples to see what is possible. A good place is [https://fas-web.sunderland.ac.uk/~cs0her/Statistics/UsingLatticeGraphicsInR.htm this].