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:
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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:
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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):
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I'm really puzzled about what's going on here. Any help would be
greatly appreciated.
Thanks,
-Oscar
There are two header lines which is confusing it. Use pattern= to
start at the second one.
See the three vignettes in zoo for info on the rest.
library(gdata)
W <-
read.xls("http://www2.standardandpoors.com/spf/pdf/index/CSHomePrice_History_022445.xls",
pattern = "LXXR")
library(zoo)
w <- zooreg(as.matrix(W[-1]), start = as.yearmon("1987-01"), freq =
12)
plot(w[,1:2], col = 1:2, screen = 1, ylab = "")
On Tue, Mar 10, 2009 at 9:15 PM, Oscar Bonilla <obonilla at galileo.edu>
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:
>
>
>
> 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:
>
>
>
>
>
> 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):
>
>
>
>
> 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.
>
>
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