HLO R January 2024 ; resolving mterials for SSA

docs/HLO_202401/S01L09s_basic_vectors0.tasks.code.html

@@ -3539,23 +3539,23 @@ <h2>Primary exercises</h2>
 </ol>
 <pre class="r"><code>v &lt;- rnorm( 10 ) # a vector of random numbers
 v</code></pre>
-<pre><code> [1]  1.9100805  0.3544851 -1.5325585  1.7951147  0.1636115  1.7985924  0.7860714  2.2636781  0.5764673 -0.6104900</code></pre>
+<pre><code> [1] -0.08684587 -0.12305461  0.93499636  0.69911305  0.96411882  1.28574192 -0.49437674  1.90782428 -0.20086221 -0.26340391</code></pre>
 <pre class="r"><code>v &lt;- rnorm( 10 ) # another vector of random numbers
 v</code></pre>
-<pre><code> [1] -2.1270588 -0.9164435  0.6007464  0.3296367  1.5966059  0.4576216  0.9890490  0.8464233  0.8824410  0.7591782</code></pre>
+<pre><code> [1] -0.17723685  0.64198290 -1.74998522 -0.67957231  1.48208103 -1.23709930 -0.54653992 -1.24279637  0.06258482  1.51158781</code></pre>
 <pre class="r"><code>v &lt;- rnorm( n = 15, mean = 2000, sd = 300 )
 v</code></pre>
-<pre><code> [1] 2182.144 1558.832 1029.785 1971.342 2292.607 1890.203 2263.458 2163.672 2070.459 2211.202 1587.938 2442.345 1995.308 1282.682 2049.964</code></pre>
+<pre><code> [1] 2340.5955 1977.0104  999.0417 2336.3170 1751.8906 1667.8493 2281.3080 1359.0786 2182.9799 2264.8113 1774.7514 1947.8293 1745.1161 1812.9882 2245.1084</code></pre>
 <pre class="r"><code>min( v )</code></pre>
-<pre><code>[1] 1029.785</code></pre>
+<pre><code>[1] 999.0417</code></pre>
 <pre class="r"><code>max( v )</code></pre>
-<pre><code>[1] 2442.345</code></pre>
+<pre><code>[1] 2340.595</code></pre>
 <pre class="r"><code>mean( v )    # is it close to 2000? try several random v vectors and see the effect of growing n</code></pre>
-<pre><code>[1] 1932.796</code></pre>
+<pre><code>[1] 1912.445</code></pre>
 <pre class="r"><code>median( v )</code></pre>
-<pre><code>[1] 2049.964</code></pre>
+<pre><code>[1] 1947.829</code></pre>
 <pre class="r"><code>sd( v )      # is it close to 300? try several random v vectors and see the effect of growing n</code></pre>
-<pre><code>[1] 398.9423</code></pre>
+<pre><code>[1] 386.8787</code></pre>
 <ol start="6" style="list-style-type: decimal">
 <li><em>Selecting and counting some kcal intakes. (Selecting elements by
 a condition; logical vectors.)</em><br />
@@ -3569,17 +3569,17 @@ <h2>Primary exercises</h2>
 </ol>
 <pre class="r"><code>v &lt;- rnorm( n = 15, mean = 2000, sd = 300 )
 v</code></pre>
-<pre><code> [1] 1974.128 2124.418 2507.012 1301.313 1502.181 1997.364 1780.462 2044.753 1969.703 2062.499 2116.766 2018.565 2731.894 1191.757 2235.245</code></pre>
+<pre><code> [1] 1916.076 1740.645 1586.926 1797.370 1883.537 2220.240 1719.392 2464.522 1889.610 1670.940 2368.731 2298.471 2415.978 2179.834 1944.372</code></pre>
 <pre class="r"><code>v &lt; 2000             # TRUE corresponds to elements of vector v SMALLER THAN 2000</code></pre>
-<pre><code> [1]  TRUE FALSE FALSE  TRUE  TRUE  TRUE  TRUE FALSE  TRUE FALSE FALSE FALSE FALSE  TRUE FALSE</code></pre>
+<pre><code> [1]  TRUE  TRUE  TRUE  TRUE  TRUE FALSE  TRUE FALSE  TRUE  TRUE FALSE FALSE FALSE FALSE  TRUE</code></pre>
 <pre class="r"><code>v[ v &lt; 2000 ]        # selected elements of v smaller than 2000</code></pre>
-<pre><code>[1] 1974.128 1301.313 1502.181 1997.364 1780.462 1969.703 1191.757</code></pre>
+<pre><code>[1] 1916.076 1740.645 1586.926 1797.370 1883.537 1719.392 1889.610 1670.940 1944.372</code></pre>
 <pre class="r"><code>sum( v &lt; 2000 )      # number of elements in vector v smaller than 2000</code></pre>
-<pre><code>[1] 7</code></pre>
+<pre><code>[1] 9</code></pre>
 <pre class="r"><code>sum( !( v &lt; 2000 ) ) # number of elements in vector v GREATER OR EQUAL than 2000</code></pre>
-<pre><code>[1] 8</code></pre>
+<pre><code>[1] 6</code></pre>
 <pre class="r"><code>sum( v &gt;= 2000 )     # same as above</code></pre>
-<pre><code>[1] 8</code></pre>
+<pre><code>[1] 6</code></pre>
 <ol start="7" style="list-style-type: decimal">
 <li><em>Head and tail.</em><br />
 Often there is a need to quickly look at the beginning
@@ -3589,12 +3589,12 @@ <h2>Primary exercises</h2>
 </ol>
 <pre class="r"><code>v &lt;- rnorm( 20 )
 v</code></pre>
-<pre><code> [1] -0.58023470  0.13418014  0.23056016 -0.58765013  0.41108748  1.46311541  1.56596174 -0.11016241  0.27550940  1.48522468 -0.36450801 -0.80969937  1.67362981
-[14] -0.57528622  0.67805598  0.42178202  0.06404249  0.11930765 -1.27424841 -1.27933627</code></pre>
+<pre><code> [1] -0.07448741  1.78763658 -0.24168726  0.22382714  0.90324773  0.85413009  0.98366668  0.34567395  0.56134277 -1.28184912 -0.29374576  1.90902040 -2.21578592
+[14] -0.05379028 -0.49776397  1.13799609 -0.27835452 -1.50099517  0.11999368 -0.05882277</code></pre>
 <pre class="r"><code>head( v, 5 )</code></pre>
-<pre><code>[1] -0.5802347  0.1341801  0.2305602 -0.5876501  0.4110875</code></pre>
+<pre><code>[1] -0.07448741  1.78763658 -0.24168726  0.22382714  0.90324773</code></pre>
 <pre class="r"><code>tail( v, 7 )</code></pre>
-<pre><code>[1] -0.57528622  0.67805598  0.42178202  0.06404249  0.11930765 -1.27424841 -1.27933627</code></pre>
+<pre><code>[1] -0.05379028 -0.49776397  1.13799609 -0.27835452 -1.50099517  0.11999368 -0.05882277</code></pre>
 <ol start="8" style="list-style-type: decimal">
 <li><em>Elements of a vector.</em><br />
 Let’s assume that eight persons had caloric intakes of 2122, 2616, NA,
@@ -3745,18 +3745,18 @@ <h2>Extra exercises</h2>
 <pre class="r"><code>fileName &lt;- &quot;test.txt&quot;
 v &lt;- sample( 1:100, 10 )
 v</code></pre>
-<pre><code> [1] 41 67 46  9 81 20 95 12 21 76</code></pre>
+<pre><code> [1] 28 24 20 36 30 90 32 19 23 60</code></pre>
 <pre class="r"><code>writeLines( as.character( v ) )                 # conversion to character needed</code></pre>
-<pre><code>41
-67
-46
-9
-81
+<pre><code>28
+24
 20
-95
-12
-21
-76</code></pre>
+36
+30
+90
+32
+19
+23
+60</code></pre>
 <pre class="r"><code>writeLines( as.character( v ), con = fileName )
 w &lt;- readLines( con = fileName )
 identical( v, w )     # numbers are not the same as their text representation</code></pre>

docs/HLO_202401/S01L10s_basic_vectors0a.tasks.code.html

@@ -3539,23 +3539,23 @@ <h2>Primary exercises</h2>
 </ol>
 <pre class="r"><code>v &lt;- rnorm( 10 ) # a vector of random numbers
 v</code></pre>
-<pre><code> [1]  0.7954721 -0.0110378 -0.4907300 -0.1870045  0.2163163  0.4602967 -0.4815889  1.2922328 -0.3749538 -0.7398685</code></pre>
+<pre><code> [1]  0.7417953  0.3737005 -0.1032475 -0.1443352 -1.6853115 -0.6388525  0.5076975  1.9223003  0.3482098  0.1984921</code></pre>
 <pre class="r"><code>v &lt;- rnorm( 10 ) # another vector of random numbers
 v</code></pre>
-<pre><code> [1] -0.610421261 -0.632929152  0.848193731 -1.755084158  0.060185487  1.061095238 -0.750328721 -1.619968118  0.007059658 -0.413613139</code></pre>
+<pre><code> [1]  0.044663134 -0.024589302 -0.762325784 -0.099985600 -0.739721425 -0.675194542  0.169422149 -0.074578394 -0.008380466 -0.866278195</code></pre>
 <pre class="r"><code>v &lt;- rnorm( n = 15, mean = 2000, sd = 300 )
 v</code></pre>
-<pre><code> [1] 2009.109 2484.061 2282.905 1763.897 1859.543 1622.650 1514.489 1690.456 2437.509 1838.286 1859.968 2168.717 2519.566 1792.545 2332.606</code></pre>
+<pre><code> [1] 2097.551 1542.531 2029.045 2062.238 1852.726 1645.120 1933.924 2690.972 2344.736 2622.540 1555.883 1742.117 1933.061 2019.946 2386.710</code></pre>
 <pre class="r"><code>min( v )</code></pre>
-<pre><code>[1] 1514.489</code></pre>
+<pre><code>[1] 1542.531</code></pre>
 <pre class="r"><code>max( v )</code></pre>
-<pre><code>[1] 2519.566</code></pre>
+<pre><code>[1] 2690.972</code></pre>
 <pre class="r"><code>mean( v )    # is it close to 2000? try several random v vectors and see the effect of growing n</code></pre>
-<pre><code>[1] 2011.754</code></pre>
+<pre><code>[1] 2030.607</code></pre>
 <pre class="r"><code>median( v )</code></pre>
-<pre><code>[1] 1859.968</code></pre>
+<pre><code>[1] 2019.946</code></pre>
 <pre class="r"><code>sd( v )      # is it close to 300? try several random v vectors and see the effect of growing n</code></pre>
-<pre><code>[1] 332.8469</code></pre>
+<pre><code>[1] 354.9108</code></pre>
 <ol start="6" style="list-style-type: decimal">
 <li><em>Selecting and counting some kcal intakes. (Selecting elements by
 a condition; logical vectors.)</em><br />
@@ -3569,17 +3569,17 @@ <h2>Primary exercises</h2>
 </ol>
 <pre class="r"><code>v &lt;- rnorm( n = 15, mean = 2000, sd = 300 )
 v</code></pre>
-<pre><code> [1] 2350.128 2133.038 1688.507 1608.779 1979.867 2220.151 2147.946 1734.274 2035.295 1564.875 2077.460 1670.738 2109.570 1975.746 2121.184</code></pre>
+<pre><code> [1] 1789.818 2095.682 2303.251 2046.704 1571.009 2033.162 2220.454 1834.578 2527.301 2416.129 2160.302 2155.554 1656.795 1780.393 2426.988</code></pre>
 <pre class="r"><code>v &lt; 2000             # TRUE corresponds to elements of vector v SMALLER THAN 2000</code></pre>
-<pre><code> [1] FALSE FALSE  TRUE  TRUE  TRUE FALSE FALSE  TRUE FALSE  TRUE FALSE  TRUE FALSE  TRUE FALSE</code></pre>
+<pre><code> [1]  TRUE FALSE FALSE FALSE  TRUE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE</code></pre>
 <pre class="r"><code>v[ v &lt; 2000 ]        # selected elements of v smaller than 2000</code></pre>
-<pre><code>[1] 1688.507 1608.779 1979.867 1734.274 1564.875 1670.738 1975.746</code></pre>
+<pre><code>[1] 1789.818 1571.009 1834.578 1656.795 1780.393</code></pre>
 <pre class="r"><code>sum( v &lt; 2000 )      # number of elements in vector v smaller than 2000</code></pre>
-<pre><code>[1] 7</code></pre>
+<pre><code>[1] 5</code></pre>
 <pre class="r"><code>sum( !( v &lt; 2000 ) ) # number of elements in vector v GREATER OR EQUAL than 2000</code></pre>
-<pre><code>[1] 8</code></pre>
+<pre><code>[1] 10</code></pre>
 <pre class="r"><code>sum( v &gt;= 2000 )     # same as above</code></pre>
-<pre><code>[1] 8</code></pre>
+<pre><code>[1] 10</code></pre>
 <ol start="7" style="list-style-type: decimal">
 <li><em>Head and tail.</em><br />
 Often there is a need to quickly look at the beginning
@@ -3589,12 +3589,12 @@ <h2>Primary exercises</h2>
 </ol>
 <pre class="r"><code>v &lt;- rnorm( 20 )
 v</code></pre>
-<pre><code> [1] -1.2045435 -0.8888849 -0.4875591 -0.8603972  1.2857674  1.0748361 -1.0896903  0.2198662 -0.1588183  0.1006874  0.2048456  0.0851585  0.1297533 -1.0237506
-[15]  0.2890568 -0.8618261  0.1333541  0.2800890  0.9490818 -0.9045166</code></pre>
+<pre><code> [1] -1.78907853 -0.75024471 -1.00115515  1.99994540 -1.99803625  1.10225645  0.91155143 -1.88657106 -1.42925202  0.69773983  0.51099752 -0.33735161  0.88145166
+[14]  0.47859768 -1.17542927 -0.02804497  0.97853084 -0.56513801 -0.39842986 -0.20884662</code></pre>
 <pre class="r"><code>head( v, 5 )</code></pre>
-<pre><code>[1] -1.2045435 -0.8888849 -0.4875591 -0.8603972  1.2857674</code></pre>
+<pre><code>[1] -1.7890785 -0.7502447 -1.0011551  1.9999454 -1.9980362</code></pre>
 <pre class="r"><code>tail( v, 7 )</code></pre>
-<pre><code>[1] -1.0237506  0.2890568 -0.8618261  0.1333541  0.2800890  0.9490818 -0.9045166</code></pre>
+<pre><code>[1]  0.47859768 -1.17542927 -0.02804497  0.97853084 -0.56513801 -0.39842986 -0.20884662</code></pre>
 <ol start="8" style="list-style-type: decimal">
 <li><em>Elements of a vector.</em><br />
 Let’s assume that eight persons had caloric intakes of 2122, 2616, NA,
@@ -3745,18 +3745,18 @@ <h2>Extra exercises</h2>
 <pre class="r"><code>fileName &lt;- &quot;test.txt&quot;
 v &lt;- sample( 1:100, 10 )
 v</code></pre>
-<pre><code> [1] 47 12 93  8 32 73 61 68 59 27</code></pre>
+<pre><code> [1] 79 69 18 75 90  5 83 13 30 11</code></pre>
 <pre class="r"><code>writeLines( as.character( v ) )                 # conversion to character needed</code></pre>
-<pre><code>47
-12
-93
-8
-32
-73
-61
-68
-59
-27</code></pre>
+<pre><code>79
+69
+18
+75
+90
+5
+83
+13
+30
+11</code></pre>
 <pre class="r"><code>writeLines( as.character( v ), con = fileName )
 w &lt;- readLines( con = fileName )
 identical( v, w )     # numbers are not the same as their text representation</code></pre>