[R] Question about datatypes/plotting issue

Gabor Grothendieck ggrothendieck at gmail.com
Wed Mar 11 18:06:01 CET 2009


Another approach is to use yearmon. e.g.

> library(zoo)
> as.yearmon("January 1987", "%B %Y")
[1] "Jan 1987"

Thus we can replace the w <- line in my example code with:

w <- zoo(as.matrix(W[-1]), as.yearmon(W[,1], "%B %Y"))

On Wed, Mar 11, 2009 at 12:48 PM, Oscar Bonilla <obonilla at galileo.edu> wrote:
> David,
>
> I struggled with this for a while. I think the problem with the dates I have
> is that they are not specific dates, they are "partial" dates. A workaround
> for that that I got from someone else in the list was:
>
> as.Date(paste(x$Date, '1'), '%B %Y %d')
>
> to make them specific dates (the first of the month).
>
> Cheers,
>
> -Oscar
>
> On Mar 10, 2009, at 7:58 PM, David Winsemius wrote:
>
>> You need to convert W$Date into a real date variable. At the moment it is
>> just a character variable.
>>
>> > str(W)
>> 'data.frame':   265 obs. of  23 variables:
>> $ Date            : Factor w/ 265 levels " ","April 1987",..: 1 90 68 156
>> 2 178 134 ...
>> $ AZ.Phoenix      : Factor w/ 236 levels "","100.00","100.43",..: 236 1 1
>> 1 1 1 1 1 1 1 ...
>> $ CA.Los.Angeles  : Factor w/ 260 levels "100.00","100.02",..: 260 113 114
>> 115 116 ...
>> $ CA.San.Diego    : Factor w/ 261 levels "100.00","101.07",..: 261 109 110
>> 111 112 ...
>> $ CA.San.Francisco: Factor w/ 256 levels "100.00","102.70",..: 256 108 109
>> 110 111 ...
>> .(output trimmed)
>> .
>> .
>> ?Date  # not the variable name, the R class name
>> ?format.Date
>> ?strptime
>>
>> Unfortunately I seem to be at one of the many limits to my knowledge:
>> This code behaves in the manner I expected:
>>
>> > format(Sys.time(), "%a %b %d %X %Y %Z")
>> [1] "Tue Mar 10 22:19:28 2009 EDT"
>> > strptime(format(Sys.time(), "%a %b %d %X %Y %Z"), format="%a %b %d %X %Y
>> > %Z")
>> [1] "2009-03-10 22:20:04"
>>
>> Whereas this code does not:
>> > format(Sys.Date(), "%B %Y")
>> [1] "March 2009"
>> > as.Date(format(Sys.Date(), "%B %Y"), "%B %Y")
>> # would have assumed one was the inverse of the other, but ...
>>
>> [1] NA
>>
>> For some reason I cannot get the space delimited Month-YYYY combo to
>> convert. I can getother  space delimited formats to work for input or
>> output:
>> > as.Date("03 1998", "%M %Y")
>> [1] "1998-03-10"
>>
>> > format(Sys.Date(), "%B %Y")
>> [1] "March 2009"
>>
>> Puzzled;
>> --
>> David Winsemius
>>
>> On Mar 10, 2009, at 9:15 PM, Oscar Bonilla wrote:
>>
>>> Hi,
>>>
>>> I am trying to plot the Case-Shiller index found at:
>>> http://www2.standardandpoors.com/spf/pdf/index/CSHomePrice_History_022445.xls
>>>
>>> The way I'm importing it into R is as follows:
>>>
>>>        library(gdata)
>>>        W <-
>>> read.xls("http://www2.standardandpoors.com/spf/pdf/index/CSHomePrice_History_022445.xls",
>>> header=TRUE)
>>>        attach(W)
>>>
>>> To give you and idea of what the data looks like:
>>>
>>> > head(W)
>>>         Date AZ.Phoenix CA.Los.Angeles CA.San.Diego CA.San.Francisco
>>> 1                     PHXR           LXXR         SDXR             SFXR
>>> 2  January 1987                     59.33        54.67            46.61
>>> 3 February 1987                     59.65        54.89            46.87
>>> 4    March 1987                     59.99        55.16            47.32
>>> 5    April 1987                     60.81        55.85            47.69
>>> 6      May 1987                     61.67        56.35            48.31
>>> CO.Denver DC.Washington FL.Miami FL.Tampa GA.Atlanta IL.Chicago MA.Boston
>>> 1      DNXR          WDXR     MIXR     TPXR       ATXR       CHXR
>>>  BOXR
>>> 2     50.20         64.11    68.50    77.33                 53.55
>>> 70.04
>>> 3     49.96         64.77    68.76    77.93                 54.64
>>> 70.08
>>> 4     50.15         65.71    69.23    77.76                 54.80
>>> 70.00
>>> 5     50.55         66.40    69.20    77.56                 54.88
>>> 70.70
>>> 6     50.63         67.27    69.46    77.85                 55.43
>>> 71.51
>>> MI.Detroit MN.Minneapolis NC.Charlotte NV.Las.Vegas NY.New.York
>>> OH.Cleveland
>>> 1       DEXR           MNXR         CRXR         LVXR        NYXR
>>> CEXR
>>> 2                                  63.39        66.36       74.42
>>>  53.53
>>> 3                                  63.94        67.03       75.43
>>>  53.50
>>> 4                                  64.17        67.34       76.25
>>>  53.68
>>> 5                                  64.81        67.88       77.34
>>>  53.75
>>> 6                                  65.18        67.90       79.16
>>>  54.71
>>> OR.Portland TX.Dallas WA.Seattle Composite.10 Composite.20
>>> 1        POXR      DAXR       SEXR         CSXR     SPCS20R
>>> 2       41.05                             62.82
>>> 3       41.28                             63.39
>>> 4       41.06                             63.87
>>> 5       40.96                             64.57
>>> 6       41.24                             65.56
>>>
>>>
>>> Now on to the problem... if I just run
>>>
>>>        plot(CA.San.Francisco ~ Date)
>>>
>>> I get:
>>> <pastedGraphic.png>
>>>
>>> Which I suspect is a problem because the Date column is not really a
>>> Date, it is a "factor"
>>>
>>>        > class(Date)
>>>        [1] "factor"
>>>
>>> If I run:
>>>        plot(as.numeric(CA.San.Francisco), type="l")
>>>
>>> I get:
>>>
>>> <pastedGraphic.png>
>>>
>>>
>>> which is wrong, as CA.San.Francisco has no such discontinuity.
>>>
>>> > CA.San.Francisco
>>> [1] SFXR   46.61  46.87  47.32  47.69  48.31  48.83  49.49  49.94  50.69
>>> [11] 51.33  51.80  52.03  52.24  52.64  53.19  54.19  56.09  58.22  58.70
>>> [21] 59.00  59.50  60.37  61.31  62.20  62.66  63.32  64.64  66.27  67.77
>>> [31] 69.26  70.27  71.36  72.31  72.95  73.25  73.02  72.87  72.95  73.50
>>> [41] 74.57  75.12  75.15  74.81  74.45  74.24  73.44  72.58  71.47  71.17
>>> [51] 70.27  69.56  69.46  70.13  70.83  71.39  71.52  71.55  71.21  70.69
>>> [61] 70.05  69.67  69.48  69.17  69.26  69.86  70.02  70.00  69.64  69.51
>>> [71] 69.28  68.85  68.21  67.77  67.44  67.09  67.59  67.90  67.99  67.65
>>> [81] 67.63  67.50  67.18  66.77  66.27  65.98  65.79  66.37  67.05  67.70
>>> [91] 68.15  68.38  68.40  68.21  68.17  68.04  67.93  67.73  67.40  66.79
>>> [101] 67.08  67.31  67.50  67.72  67.78  67.76  67.30  66.80  66.43
>>>  66.15
>>> [111] 65.97  65.92  66.44  67.05  67.67  68.02  68.35  68.43  68.53
>>>  68.72
>>> [121] 68.69  68.80  68.81  69.78  71.09  72.19  73.12  73.75  74.43
>>>  74.76
>>> [131] 75.22  75.31  75.81  76.19  76.53  77.48  79.08  80.82  82.41
>>>  83.52
>>> [141] 84.41  85.06  85.05  84.66  84.50  85.03  85.93  87.51  89.21
>>>  90.82
>>> [151] 92.52  94.20  95.14  96.15  96.72  97.87  98.90  100.00 102.70
>>> 106.56
>>> [161] 110.97 115.01 118.45 119.48 119.95 120.94 123.08 125.66 128.58
>>> 131.16
>>> [171] 133.27 134.10 134.38 134.09 132.64 130.95 129.15 128.60 128.01
>>> 126.99
>>> [181] 125.47 125.13 126.06 128.79 132.62 136.07 139.35 141.02 141.93
>>> 142.29
>>> [191] 142.74 143.06 142.40 141.90 142.19 143.00 144.69 145.53 146.53
>>> 147.75
>>> [201] 148.72 150.25 151.75 153.36 154.62 155.93 158.11 160.90 164.65
>>> 167.76
>>> [211] 171.51 173.85 175.89 178.15 180.75 183.15 185.72 189.35 193.50
>>> 198.30
>>> [221] 201.86 205.52 208.92 211.56 212.86 214.73 215.55 215.70 215.11
>>> 214.78
>>> [231] 215.50 216.04 217.52 218.37 218.12 217.63 217.22 216.37 215.42
>>> 213.84
>>> [241] 212.13 211.78 210.78 211.09 211.47 210.89 209.48 208.64 208.15
>>> 206.46
>>> [251] 202.03 195.49 189.23 183.81 174.54 168.38 164.63 162.70 159.83
>>> 156.88
>>> [261] 151.42 145.53 139.44 135.28 130.12
>>> 256 Levels: 100.00 102.70 106.56 110.97 115.01 118.45 119.48 119.95 ...
>>> SFXR
>>>
>>> However, as.numeric(CA.San.Francisco) does have it!
>>>
>>> > as.numeric(CA.San.Francisco)
>>> [1] 256 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123
>>> 124
>>> [19] 125 126 127 128 129 130 131 132 133 134 140 164 185 199 205 211 214
>>> 217
>>> [37] 215 213 214 219 224 227 228 226 223 221 218 212 207 203 199 190 187
>>> 198
>>> [55] 201 206 208 209 204 200 197 192 188 184 185 194 196 195 191 189 186
>>> 183
>>> [73] 173 164 154 149 156 166 168 158 157 155 150 144 140 138 135 141 147
>>> 160
>>> [91] 171 175 176 173 172 170 167 162 153 145 148 152 155 161 165 163 151
>>> 146
>>> [109] 142 139 137 136 143 147 159 169 174 177 178 180 179 181 182 193 202
>>> 210
>>> [127] 216 220 222 225 229 230 231 232 233 234 235 236 237 238 239 244 243
>>> 241
>>> [145] 240 242 245 246 247 248 249 250 251 252 253 254 255   1   2   3   4
>>>   5
>>> [163]   6   7   8   9  10  13  17  23  26  28  29  27  25  22  20  18  16
>>>  15
>>> [181]  12  11  14  19  24  31  32  34  36  38  40  42  39  35  37  41  43
>>>  44
>>> [199]  45  46  47  48  50  51  52  53  55  57  60  61  63  64  66  67  68
>>>  69
>>> [217]  71  73  74  76  77  79  83  89  92  94  99 100  96  95  98 101 104
>>> 107
>>> [235] 106 105 103 102  97  93  91  90  85  87  88  86  84  82  81  80  78
>>>  75
>>> [253]  72  70  65  62  59  58  56  54  49  44  33  30  21
>>>
>>> What I'd like to get, is a graph like this (the red line):
>>>
>>> <pastedGraphic.png>
>>>
>>> I'm really puzzled about what's going on here. Any help would be greatly
>>> appreciated.
>>>
>>> Thanks,
>>>
>>> -Oscar
>>>
>>> ______________________________________________
>>> R-help at r-project.org mailing list
>>> https://stat.ethz.ch/mailman/listinfo/r-help
>>> PLEASE do read the posting guide
>>> http://www.R-project.org/posting-guide.html
>>> and provide commented, minimal, self-contained, reproducible code.
>>
>> David Winsemius, MD
>> Heritage Laboratories
>> West Hartford, CT
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>




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