Hi:
Try this, since your data have no missing months:
rainfall$Time <- seq(from = as.Date('1993-01-01'), to =
as.Date('2007-12-01'), by = 'month')
g <- ggplot(rainfall, aes(x = Time, y = rainfall))
g + geom_path()
HTH,
Dennis
On Sun, Jan 16, 2011 at 5:01 AM, Kang Min <ngokang...@gmail.com> wrote:
> Hi,
>
> I would like to plot time against rainfall data (data is at the end)
> using xyplot.
>
> The basic code looks like this: xyplot(rainfall~time, type="a")
> When I do this, the graph looks ok except that the x-axis has too many
> values. I would just like to display the years and not the months on
> the x-axis. I've been fiddling around with 'scales', and read previous
> posts about axis problems but I still can't find the solution.
>
> Thanks in advance.
>
> Kang Min
>
> time rainfall
> Jan1993 176.4
> Feb1993 69.2
> Mar1993 250.5
> Apr1993 283.9
> May1993 129.9
> Jun1993 115.5
> Jul1993 240
> Aug1993 106.8
> Sep1993 61.7
> Oct1993 175.5
> Nov1993 250.8
> Dec1993 308.5
> Jan1994 56.9
> Feb1994 133.5
> Mar1994 288.2
> Apr1994 154
> May1994 169.6
> Jun1994 184.7
> Jul1994 53.8
> Aug1994 45.1
> Sep1994 23.7
> Oct1994 84.7
> Nov1994 322.2
> Dec1994 425.4
> Jan1995 349.4
> Feb1995 334
> Mar1995 67.7
> Apr1995 242.3
> May1995 84.4
> Jun1995 63.7
> Jul1995 173.6
> Aug1995 211.6
> Sep1995 29.5
> Oct1995 101.1
> Nov1995 372.8
> Dec1995 302.5
> Jan1996 173.2
> Feb1996 180.2
> Mar1996 129.7
> Apr1996 178.2
> May1996 107.5
> Jun1996 265.8
> Jul1996 162.3
> Aug1996 258.4
> Sep1996 297
> Oct1996 300
> Nov1996 180.2
> Dec1996 185.5
> Jan1997 15.4
> Feb1997 105.4
> Mar1997 34.3
> Apr1997 118.4
> May1997 41.6
> Jun1997 78.9
> Jul1997 18.6
> Aug1997 86.6
> Sep1997 31.1
> Oct1997 78.4
> Nov1997 158.3
> Dec1997 351.9
> Jan1998 268.8
> Feb1998 32.5
> Mar1998 58.8
> Apr1998 187.7
> May1998 370.8
> Jun1998 198.8
> Jul1998 259.2
> Aug1998 195
> Sep1998 258.2
> Oct1998 222.7
> Nov1998 107.2
> Dec1998 463.4
> Jan1999 193.9
> Feb1999 67.4
> Mar1999 181.4
> Apr1999 88.5
> May1999 157.1
> Jun1999 103.4
> Jul1999 225.4
> Aug1999 204
> Sep1999 125.9
> Oct1999 205
> Nov1999 241.5
> Dec1999 340.5
> Jan2000 275.2
> Feb2000 237.8
> Mar2000 238.3
> Apr2000 311.6
> May2000 96.8
> Jun2000 157.5
> Jul2000 116.1
> Aug2000 113.5
> Sep2000 81.1
> Oct2000 120.9
> Nov2000 385.7
> Dec2000 236
> Jan2001 425.8
> Feb2001 86.6
> Mar2001 297.3
> Apr2001 203.3
> May2001 164.9
> Jun2001 137.1
> Jul2001 111.3
> Aug2001 158.3
> Sep2001 162
> Oct2001 252.2
> Nov2001 175.3
> Dec2001 609
> Jan2002 221.2
> Feb2002 50.8
> Mar2002 55.6
> Apr2002 116.5
> May2002 236.6
> Jun2002 83.1
> Jul2002 233.7
> Aug2002 54.2
> Sep2002 124.2
> Oct2002 10.8
> Nov2002 307.2
> Dec2002 255
> Jan2003 444.2
> Feb2003 172.9
> Mar2003 154.6
> Apr2003 159.9
> May2003 81.8
> Jun2003 50.3
> Jul2003 170.4
> Aug2003 193.6
> Sep2003 205.3
> Oct2003 351.4
> Nov2003 133.8
> Dec2003 273
> Jan2004 600.9
> Feb2004 31.9
> Mar2004 269.4
> Apr2004 57.1
> May2004 137.6
> Jun2004 127.2
> Jul2004 166.6
> Aug2004 185.2
> Sep2004 128.9
> Oct2004 125.6
> Nov2004 166.2
> Dec2004 139.8
> Jan2005 163.2
> Feb2005 8.4
> Mar2005 82.4
> Apr2005 81.7
> May2005 331.1
> Jun2005 82.3
> Jul2005 104
> Aug2005 58.5
> Sep2005 175.7
> Oct2005 314.5
> Nov2005 362.9
> Dec2005 166
> Jan2006 454.4
> Feb2006 115.5
> Mar2006 83.1
> Apr2006 239.8
> May2006 205.7
> Jun2006 236.8
> Jul2006 153.8
> Aug2006 127.3
> Sep2006 83.3
> Oct2006 102
> Nov2006 185.6
> Dec2006 765.9
> Jan2007 450.1
> Feb2007 105.5
> Mar2007 269.1
> Apr2007 240.2
> May2007 127.2
> Jun2007 139
> Jul2007 141.7
> Aug2007 190.7
> Sep2007 149
> Oct2007 237.2
> Nov2007 367.9
> Dec2007 468.6
>
> ______________________________________________
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