Displaying 20 results from an estimated 28 matches for "141l".
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141
2010 Mar 16
3
function arguments: name of an object vs. call producing the object?
..., 2L, 3L,
4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L, 4L, 1L, 2L, 3L,
4L), .Label = c("Well", "Mild", "Moderate", "Impaired"), class =
c("ordered",
"factor")), Freq = c(64L, 94L, 58L, 46L, 57L, 94L, 54L, 40L,
57L, 105L, 65L, 60L, 72L, 141L, 77L, 94L, 36L, 97L, 54L, 78L,
21L, 71L, 54L, 71L)), .Names = c("ses", "mental", "Freq"), row.names =
c(NA,
-24L), class = "data.frame")
--
Michael Friendly Email: friendly AT yorku DOT ca
Professor, Psychology Dept.
York University Voice: 416 73...
2012 May 29
1
Extract time from irregular date and time data records
...for example:
## df
df<-structure(list(Temperature = c(18.63, 18.4, 18.18, 16.99, 16.86,
11.39, 11.39, 11.37, 11.37, 11.37, 11.37), JulianDay.Hour = c(22610L,
22610L, 22610L, 22610L, 22610L, 22611L, 22611L, 22611L, 22611L,
22611L, 22611L), Minutes.Seconds = c(4608L, 4611L, 4614L, 4638L,
4641L, 141L, 144L, 208L, 211L, 214L, 238L)), .Names = c("Temperature",
"JulianDay.Hour", "Minutes.Seconds"), row.names = c(3176L, 3177L,
3178L, 3179L, 3180L, 3079L, 3080L, 3054L, 3055L, 3056L, 3057L
), class = "data.frame")
## Extraction method for times
df$Time.Incorre...
2013 Feb 27
2
matrix multiplication
..., 443L,?
436L, 469L, 186L, 472L, 297L, 50L, 425L, 224L, 3L, 221L, 11L,?
391L, 33L, 243L, 247L, 152L, 98L, 482L, 111L, 257L, 155L, 47L,?
10L, 468L, 270L, 313L, 86L, 293L, 160L, 168L, 409L, 170L, 84L,?
180L, 76L, 99L, 214L, 15L, 414L, 394L, 450L, 4L, 61L, 339L, 342L,?
1L, 470L, 210L, 37L, 345L, 115L, 141L, 302L, 178L, 445L, 6L,?
466L, 285L, 174L, 201L, 114L, 369L, 390L, 69L, 420L, 464L, 269L,?
455L, 382L, 25L, 123L, 95L, 230L, 72L, 250L, 473L, 8L, 274L,?
238L, 62L, 461L, 104L, 125L, 128L, 227L, 292L, 430L, 206L, 360L,?
491L, 191L, 142L, 181L, 318L, 484L, 145L, 89L, 233L, 368L, 412L,?
335L, 215L, 146...
2008 Jul 06
2
lattice question
...uot;Negative",
"Neutral", "Positive"), class = "factor"), value = c(153L, 157L,
151L, 152L, 129L, 129L, 89L, 134L, 129L, 126L, 125L, 106L, 108L,
120L, 148L, 109L, 128L, 123L, 132L, 111L, 142L, 139L, 146L, 156L,
153L, 167L, 123L, 161L, 177L, 178L, 163L, 175L, 140L, 141L, 143L,
217L, 206L, 185L, 192L, 203L, 196L, 190L, 195L, 192L, 217L, 210L,
181L, 197L, 222L, 123L, 168L, 156L, 169L, 178L, 178L, 149L, 181L,
175L, 177L, 168L, 153L, 179L, 139L, 156L, 142L, 115L, 135L, 143L,
164L, 158L, 111L, 119L, 131L, 120L, 160L, 141L, 161L, 123L, 135L,
152L, 135L, 164L, 191L, 183L...
2018 May 16
1
Systemfit Question
...L, 338L,
379L,
424L, 428L, 428L, 469L, 452L, 460L, 475L, 447L, 470L,
468L,
396L, 423L, 431L, 427L, 424L, 375L, 358L, 324L, 309L,
341L,
362L, 421L, 445L, 501L, 512L, 19L, 6L, 20L, 32L, 31L,
36L,
27L, 12L, 146L, 89L, 91L, 89L, 89L, 112L, 141L, 144L,
160L,
141L, 129L, 127L, 155L, 186L, 215L, 219L, 246L, 300L,
293L,
280L, 351L, 384L, 390L, 397L, 347L, 200L, 195L, 175L,
91L,
106L, 114L, 97L, 110L, 102L, 85L, 91L, 100L, 130L, 140L,
159L, 167L, 191L, 243L, 231L, 236L, 255L, 262L...
2016 Apr 22
1
Unique Ordering
...189L, 187L, 188L, 184L, 185L, 186L, 183L,
181L, 182L, 178L, 180L, 179L, 175L, 177L, 176L, 172L, 174L, 173L,
171L, 169L, 170L, 166L, 168L, 167L, 163L, 165L, 164L, 162L, 160L,
161L, 159L, 157L, 158L, 156L, 154L, 155L, 153L, 151L, 152L, 148L,
150L, 149L, 147L, 145L, 146L, 142L, 143L, 144L, 139L, 140L, 141L,
138L, 137L, 136L, 135L, 133L, 134L, 132L, 130L, 131L, 127L, 129L,
128L, 126L, 124L, 125L, 121L, 122L, 123L, 120L, 118L, 119L, 117L,
115L, 116L, 112L, 114L, 113L, 109L, 110L, 111L, 106L, 108L, 107L,
105L, 103L, 104L, 102L, 100L, 101L, 99L, 97L, 98L, 94L, 96L,
95L, 93L, 91L, 92L, 90L, 88L, 89L, 85L,...
2011 Nov 08
2
nesting scale_manual caracteristics in ggplot
...266L, 282L,
35L, 53L, 57L, 315L, 332L, 202L, 90L, 79L, 89L, 67L, 116L, 109L,
44L, 68L, 75L, 29L, 52L, 52L, 253L, 203L, 87L, 105L, 234L, 152L,
247L, 243L, 144L, 167L, 165L, 95L, 300L, 128L, 125L, 84L, 183L,
88L, 153L, 185L, 175L, 226L, 216L, 118L, 118L, 94L, 224L, 259L,
176L, 175L, 147L, 197L, 141L, 176L, 187L, 87L, 92L, 148L, 86L,
139L, 122L), country = structure(c(2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L,
1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L,
1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L,
2L, 2...
2013 Jan 03
2
Sas by function in R
Hello,
It's an alternative to use SAS by function in R?
I want to plot d histograms by plot.from example bellow:
Thank you!
plot d
1 1 16.3
2 1 25.0
3 1 57.8
4 1 17.0
5 2 10.8
13 2 96.4
17 3 76.0
18 3 32.0
19 3 11.0
20 3 11.0
24 3 106.0
25 3 12.5
21 4 19.3
22 4 12.0
26 4 15.0
27 5 99.3
32 7 11.0
36
2011 Jan 31
1
how to search to value to another table
Hello,
I'm a new R user.
I have two different dummy tables with the variable name tb1 and tb2.
tb1<
v1 v2 v3 v4
"chr1" 22 23 3
"chr1" 36 37 1
"chr1" 54 55 0
"chr1" 77 78 1
"chr2" 80 81 4
"chr2" 85 86 0
"chr2" 99 100 1
2011 Feb 17
0
Data frame sampling
...L, 501L, 532L, 550L, 577L, 603L, 17L, 36L, 57L, 79L, 107L,
132L, 158L, 183L, 210L, 237L, 269L, 299L, 315L, 348L, 372L, 397L,
626L, 657L, 689L, 714L, 731L, 758L, 787L, 811L, 833L, 860L, 888L,
911L, 940L, 964L, 991L, 1016L, 421L, 451L, 480L, 495L, 529L,
553L, 582L, 602L, 18L, 31L, 58L, 80L, 120L, 141L, 169L, 189L), class = "data.frame")
2018 May 16
0
Systemfit
...??????????????????????????362L,
>421L, 445L, 501L, 512L, 19L, 6L, 20L, 32L, 31L, 36L,?
>
>???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????27L,
>12L, 146L, 89L, 91L, 89L, 89L, 112L, 141L, 144L, 160L,?
>
>???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????141L,
>129L, 127L, 155L, 186L, 215L, 219L, 246L, 300L, 293L,?
>
>???????????????????????????????????????????????...
2018 May 15
2
Systemfit
...??????????????????????????????????????????362L, 421L, 445L, 501L, 512L, 19L, 6L, 20L, 32L, 31L, 36L,?
???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????27L, 12L, 146L, 89L, 91L, 89L, 89L, 112L, 141L, 144L, 160L,?
???????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????????141L, 129L, 127L, 155L, 186L, 215L, 219L, 246L, 300L, 293L,?
???????????????????????????????????????????????????????????????????...
2014 Jun 03
3
error de incompatible methods
Hola!!
Estoy intentando ejecutar un script com horas, al principio ejecute estos
comandos
DBx$Date<-strptime(DBx$Date, "%d-%m-%Y") ###Monicap use ; other
use Y
DBx$Year<-as.POSIXlt(DBx$Date)$year+1900
if(filename!="monicap_50.csv") {DBx$Time<-paste(DBx$Time, ":00", sep="")}
Pero me daba el error de que mi base de datos tenia las
2014 Jun 04
2
error de incompatible methods
...bien de donde salen.
>>
>> Aqui esta una parte de lo que me há salido cuando he puesto el
>> dput(head(DBx)) (he copiado solo lo que pensaba que podria interessar para
>> explicar lo que quiero)
>>
>>
>> Time = structure(c(1219L,
>> 1279L, 1400L, 141L, 201L, 261L), .Label = c("0:00:00 ", "0:01:00 ",
>> "0:02:00 ", "0:03:00 ", "0:04:00 ", "0:05:00 ", "0:06:00 ",
>> "0:07:00 ", "0:08:00 ", "0:09:00 ", "0:10:00 ", "...
2018 May 15
0
Systemfit
... and the mailing list is picky about attachments... whatever you attached did not conform to the stringent requirements mentioned in the Posting Guide. Pasting the code right into the email is usually safest, though you DO have to post using plain text (as the Posting Guide indicates) or your code may get mangled by the automatic html format removal.
On May 15, 2018 7:04:31 AM PDT, Bert Gunter
2018 May 15
1
Systemfit
Unless there is good reason not to, always cc the list -- there are lots of
smarter folks than I on it who can help.
I may or may not have time to look at this. Hopefully someone else will.
-- Bert
Bert Gunter
"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip
2017 Dec 06
2
Odd dates generated in Forecasts
...L, 158L, 172L, 186L, 200L, 214L, 228L, 242L, 256L, 270L, 284L,
298L, 312L, 326L, 340L, 354L, 368L, 382L, 396L, 410L, 424L, 438L,
452L, 466L, 480L, 494L, 508L, 522L, 536L, 550L, 564L, 578L, 592L,
606L, 620L, 634L, 648L, 662L, 676L, 690L, 704L, 718L, 1L, 15L,
29L, 43L, 57L, 71L, 85L, 99L, 113L, 127L, 141L, 155L, 169L, 183L,
197L, 211L, 225L, 239L, 253L, 267L, 281L, 295L, 309L, 323L, 337L,
351L, 365L, 379L, 393L, 407L, 421L, 435L, 449L, 463L, 477L, 491L,
505L, 519L, 533L, 547L, 561L, 575L, 589L, 603L, 617L, 631L, 645L,
659L, 673L, 687L, 701L, 715L, 729L, 13L, 27L, 41L, 55L, 69L,
83L, 97L, 111L, 126L,...
2017 Dec 06
0
Odd dates generated in Forecasts
...200L, 214L, 228L, 242L, 256L, 270L, 284L,
> 298L, 312L, 326L, 340L, 354L, 368L, 382L, 396L, 410L, 424L, 438L,
> 452L, 466L, 480L, 494L, 508L, 522L, 536L, 550L, 564L, 578L, 592L,
> 606L, 620L, 634L, 648L, 662L, 676L, 690L, 704L, 718L, 1L, 15L,
> 29L, 43L, 57L, 71L, 85L, 99L, 113L, 127L, 141L, 155L, 169L, 183L,
> 197L, 211L, 225L, 239L, 253L, 267L, 281L, 295L, 309L, 323L, 337L,
> 351L, 365L, 379L, 393L, 407L, 421L, 435L, 449L, 463L, 477L, 491L,
> 505L, 519L, 533L, 547L, 561L, 575L, 589L, 603L, 617L, 631L, 645L,
> 659L, 673L, 687L, 701L, 715L, 729L, 13L, 27L, 41L, 55L, 69L,
&...
2017 Dec 06
1
Odd dates generated in Forecasts
...42L, 256L, 270L, 284L,
> > 298L, 312L, 326L, 340L, 354L, 368L, 382L, 396L, 410L, 424L, 438L,
> > 452L, 466L, 480L, 494L, 508L, 522L, 536L, 550L, 564L, 578L, 592L,
> > 606L, 620L, 634L, 648L, 662L, 676L, 690L, 704L, 718L, 1L, 15L,
> > 29L, 43L, 57L, 71L, 85L, 99L, 113L, 127L, 141L, 155L, 169L, 183L,
> > 197L, 211L, 225L, 239L, 253L, 267L, 281L, 295L, 309L, 323L, 337L,
> > 351L, 365L, 379L, 393L, 407L, 421L, 435L, 449L, 463L, 477L, 491L,
> > 505L, 519L, 533L, 547L, 561L, 575L, 589L, 603L, 617L, 631L, 645L,
> > 659L, 673L, 687L, 701L, 715L, 729L, 13L, 2...
2014 Sep 01
1
Correlation Matrix with a Covariate
...0.015218596, 0.000139047
), ppitots = c(127L, 144L, 123L, 139L, 132L, 104L, 124L,
101L, 139L, 143L, 125L, 118L, 143L, 136L, 101L, 155L, 121L,
163L, 144L, 137L, 161L, 132L, 129L, 172L, 130L, 149L, 130L,
127L, 131L, 100L, 134L, 140L, 130L, 156L, 129L, 105L, 104L,
144L, 131L, 155L, 141L, 148L, 122L), ppi_1_corrected = c(0.790903075,
-0.699393955, -2.327819799, 1.081391412, 1.312482037, -1.237538376,
-2.908572705, -1.431192482, 0.849643836, -0.164898186, -2.41690919,
-2.180646599, 2.448811184, -0.690782751, -3.013794372, -0.299602118,
-2.681787682, 1.644921908, -0.8...