Every lattice xyplot() I've created before this one has tick marks on only
the left and bottom axes. The current plot has sprouted tick marks on the
top and right side, too, and I want to remove them. I've not found an answer
to this issue in Deepayan's book or on the web. I would appreciate also
learning why the extra tick marks appeared. The dput() data are included.
The plotting command;
rain.all.sum <- xyplot(Sum ~ Month, data=agg.all, col = 'black', type = 'h',
main = 'Monthly Total Precipitation\n2005-2018',
xlab = 'Year and Month', ylab = 'Precipitation (in)',
scales = list(x = list(at = seq(1,162,by=6), cex = 0.7,
rot = 90)))
plot(rain.all.sum)
The data:
structure(list(Month = structure(1:162, .Label = c("2005-01",
"2005-02", "2005-03", "2005-04", "2005-05", "2005-06", "2005-07",
"2005-08", "2005-09", "2005-10", "2005-11", "2005-12", "2006-01",
"2006-02", "2006-03", "2006-04", "2006-05", "2006-06", "2006-07",
"2006-08", "2006-09", "2006-10", "2006-11", "2006-12", "2007-01",
"2007-02", "2007-03", "2007-04", "2007-05", "2007-06", "2007-07",
"2007-08", "2007-09", "2007-10", "2007-11", "2007-12", "2008-01",
"2008-02", "2008-03", "2008-04", "2008-05", "2008-06", "2008-07",
"2008-08", "2008-09", "2008-10", "2008-11", "2008-12", "2009-01",
"2009-02", "2009-03", "2009-04", "2009-05", "2009-06", "2009-07",
"2009-08", "2009-09", "2009-10", "2009-11", "2009-12", "2010-01",
"2010-02", "2010-03", "2010-04", "2010-05", "2010-06", "2010-07",
"2010-08", "2010-09", "2010-10", "2010-11", "2010-12", "2011-01",
"2011-02", "2011-03", "2011-04", "2011-05", "2011-06", "2011-07",
"2011-08", "2011-09", "2011-10", "2011-11", "2011-12", "2012-01",
"2012-02", "2012-03", "2012-04", "2012-05", "2012-06", "2012-07",
"2012-08", "2012-09", "2012-10", "2012-11", "2012-12", "2013-01",
"2013-02", "2013-03", "2013-04", "2013-05", "2013-06", "2013-07",
"2013-08", "2013-09", "2013-10", "2013-11", "2013-12", "2014-01",
"2014-02", "2014-03", "2014-04", "2014-05", "2014-06", "2014-07",
"2014-08", "2014-09", "2014-10", "2014-11", "2014-12", "2015-01",
"2015-02", "2015-03", "2015-04", "2015-05", "2015-06", "2015-07",
"2015-08", "2015-09", "2015-10", "2015-11", "2015-12", "2016-01",
"2016-02", "2016-03", "2016-04", "2016-05", "2016-06", "2016-07",
"2016-08", "2016-09", "2016-10", "2016-11", "2016-12", "2017-01",
"2017-02", "2017-03", "2017-04", "2017-05", "2017-06", "2017-07",
"2017-08", "2017-09", "2017-10", "2017-11", "2017-12", "2018-01",
"2018-02", "2018-03", "2018-04", "2018-05", "2018-06"), class = "factor"),
Sum = c(53.51, 24.2, 88.54, 72.85, 77.3, 49.19, 8.77, 5.75,
27.83, 79.75, 123.89, 168.29, 229.69, 70.91, 74.15, 62.3,
43.56, 35.08, 3.6, 2.76, 26.83, 47.72, 293.23, 139.84, 103.48,
120.91, 85.96, 55.91, 26.56, 29.44, 9.9, 15.38, 33.47, 93.6,
105.61, 277.41, 279.38, 144.26, 220.88, 149.75, 82.28, 55.87,
5.29, 52.27, 21.1, 64.76, 182.31, 207.13, 196.29, 89.27,
187.72, 111.67, 111.72, 38.19, 6.07, 15.25, 52.46, 127.75,
208.43, 146.62, 169.34, 94.54, 154.21, 131.39, 151.27, 135.46,
9.98, 8.72, 86.67, 142.04, 225.61, 274.93, 196.68, 153.24,
263.54, 231.49, 122.23, 58.26, 34.65, 2.96, 28.21, 103.92,
217.52, 166.16, 305.27, 168.73, 333.28, 145.68, 101.2, 127.77,
15.41, 1.85, 3.49, 245.99, 272.35, 297.05, 177.17, 105.71,
118.44, 136.34, 161.01, 53.31, 1.15, 23.43, 200.97, 69.12,
158.51, 131.67, 156.95, 266.38, 291.7, 147.15, 101.49, 78.89,
26.99, 24.35, 35.76, 210.2, 225.55, 282.85, 153.91, 148.13,
187.03, 133.99, 62.28, 17.58, 13.41, 35.58, 47.04, 154.92,
317.77, 604.04, 288.91, 210.86, 266.04, 121.62, 78.17, 85.96,
29.84, 7.02, 72.13, 404.33, 247.71, 255.5, 138.22, 339.5,
368.99, 209.41, 110.08, 63.9, 0.62, 6.97, 133.75, 227.1,
312.99, 178.58, 255.8, 155.05, 135.27, 225.55, 15.23, 1.58
), Median = c(0.01, 0, 0, 0.1, 0.1, 0, 0, 0, 0, 0.02, 0.1,
0.04, 0.5, 0, 0.1, 0.07, 0, 0, 0, 0, 0, 0, 0.57, 0.03, 0,
0.2, 0.055, 0, 0, 0, 0, 0, 0, 0, 0, 0.21, 0.21, 0.02, 0.2,
0.11, 0.02, 0, 0, 0, 0, 0, 0.1, 0.165, 0.01, 0.01, 0.15,
0.01, 0, 0, 0, 0, 0, 0.02, 0.125, 0, 0.1, 0.08, 0.055, 0.1,
0.13, 0.01, 0, 0, 0, 0, 0.2, 0.17, 0.02, 0.07, 0.23, 0.15,
0.06, 0, 0, 0, 0, 0.03, 0.1, 0, 0.1, 0.1, 0.2, 0.07, 0, 0.02,
0, 0, 0, 0.04, 0.115, 0.24, 0.02, 0.03, 0.01, 0.01, 0.02,
0, 0, 0, 0, 0, 0.02, 0, 0, 0.2, 0.18, 0.05, 0, 0, 0, 0, 0,
0.08, 0.07, 0.1, 0, 0.01, 0, 0.02, 0, 0, 0, 0, 0, 0, 0.09,
0.4, 0.18, 0.1, 0.2, 0, 0, 0, 0, 0, 0, 0.29, 0.09, 0.09,
0, 0.26, 0.3, 0.16, 0, 0, 0, 0, 0, 0, 0.25, 0, 0.16, 0.03,
0.02, 0.08, 0, 0), Max = c(3, 1.1, 3.2, 1.2, 1.6, 1.48, 0.8,
0.6, 3.2, 4.9, 3.1, 3.63, 3.4, 2.6, 2, 3.25, 1.6, 2.1, 0.4,
0.5, 1.1, 2, 6.6, 3.2, 3.6, 5.8, 2.3, 1.7, 1.3, 1.2, 1, 2.1,
2, 3, 3, 5.9, 3.3, 2.9, 5.2, 1.8, 1.4, 2.2, 0.6, 2.5, 1.02,
2, 4.4, 3.6, 5.3, 2.2, 2.7, 2.5, 1.5, 1.4, 0.8, 1.4, 1.4,
2.11, 2.1, 3.3, 3.12, 1.3, 2.4, 1.5, 2.4, 3.5, 0.9, 1.3,
2.77, 2, 3.2, 2.6, 5.4, 3.4, 2.87, 2.6, 1.6, 1.4, 1.2, 0.2,
0.91, 2.1, 2.2, 5.2, 4.75, 2.3, 3.4, 2.67, 1.8, 1.9, 0.61,
0.2, 0.2, 3.4, 3.65, 3.1, 3.15, 2.2, 2, 2.7, 2.3, 1.18, 0.2,
2.1, 3.3, 1.7, 2.47, 8.8, 2.8, 3.27, 3.29, 2.4, 2.1, 1.73,
1.03, 1.4, 1.1, 2.9, 3.1, 5.7, 2.69, 2.7, 3.1, 1.3, 1.85,
0.6, 1.5, 1.1, 1.5, 4.2, 3.8, 4.4, 2.5, 3.2, 2.61, 1.94,
2.1, 2.1, 1, 0.57, 2.2, 5, 3.02, 2.8, 1.7, 3.08, 5, 2.54,
2.7, 1.6, 0.1, 0.5, 2.6, 5.35, 3.5, 2.9, 2.3, 2.9, 1.2, 2.47,
0.6, 0.25)), row.names = c(NA, -162L), class = "data.frame")
Rich
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