On Aug 30, 2010, at 6:09 PM, Felipe Carrillo wrote:

Sorry about the structure thing, I basically want my levels on this order:
 w_melt <-
reorder(w_melt $year,c("BY2005","BY2009","BY2006","BY2008","BY2007","BY2010")) Here's the new dataset , please discard the reverse year, I was just trying it
but it didn't do what I wanted
and forgot to delete it.
With ggplot2 I am trying to show the line with max value above and then show the
other lines in the same order as the w_melt reorder code above.

I cannot parse that into English ... too many references to undefined items and indefinite pronouns to arrive at a meaningful expanded sentence. "Max value above"? "Other lines in order"? Try your plotting with the simple modification offered below and then report back with more detail and fewer indefinite pronouns and vague "as aboves".


winter <- structure(list(week = c(26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L,
34L, 35L, 36L, 37L, 38L, 39L, 40L, 41L, 42L, 43L, 44L, 45L, 46L,
47L, 48L, 49L, 50L, 51L, 52L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L,
9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L,
22L, 23L, 24L, 25L, 26L), BY2010 = c(0L, 0L, 460L, 1126L, 1755L,
11153L, 27998L, 56336L, 12486L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L), BY2009 = c(0L, 95L, 341L, 373L, 2859L, 5769L,
33263L, 98435L, 345339L, 622621L, 349958L, 531232L, 652803L,
345358L, 142991L, 148883L, 957501L, 32495L, 14862L, 7210L, 9765L,
6846L, 5067L, 6201L, 3045L, 106230L, 1183L, 195L, 6855L, 10261L,
4179L, 650L, 240L, 165L, 1189L, 863L, 562L, 1350L, 188L, 479L,
770L, 0L, 558L, 314L, 147L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L),
    BY2008 = c(0L, 0L, 77L, 124L, 159L, 2376L, 9480L, 17314L,
    99574L, 323679L, 198211L, 93630L, 129183L, 111820L, 71260L,
    35241L, 14020L, 20778L, 21694L, 15016L, 13400L, 9187L, 3607L,
    2804L, 2417L, 5291L, 16216L, 898L, 558L, 709L, 972L, 61L,
    372L, 3086L, 10108L, 4295L, 882L, 2593L, 36L, 233L, 243L,
    0L, 70L, 272L, 308L, 134L, 40L, 0L, 0L, 0L, 0L, 0L, 0L),
    BY2007 = c(0L, 0L, 0L, 10775L, 4166L, 4958L, 16221L, 29401L,
    34951L, 33188L, 146044L, 105007L, 185297L, 159682L, 207537L,
    140694L, 128275L, 44274L, 27079L, 18928L, 10437L, 29984L,
    18395L, 25846L, 4573L, 31995L, 3679L, 1043L, 9636L, 1524L,
    827L, 7009L, 233L, 433L, 0L, 1103L, 257L, 128L, 66L, 70L,
    535L, 429L, 97L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L),
    BY2006 = c(0L, 707L, 2390L, 8860L, 24430L, 40885L, 72792L,
    205521L, 344493L, 662973L, 526409L, 631953L, 850491L, 842678L,
    445987L, 558152L, 332032L, 174326L, 80601L, 48696L, 98571L,
    103563L, 149469L, 78081L, 182478L, 2158L, 16566L, 4027L,
    2655L, 1112L, 567L, 2595L, 4976L, 6336L, 294L, 1758L, 291L,
    203L, 450L, 1098L, 788L, 195L, 532L, 0L, 0L, 0L, 0L, 0L,
    0L, 167L, 0L, 0L, 0L), BY2005 = c(0L, 0L, 868L, 2044L, 4064L,
    6049L, 9399L, 13304L, 45172L, 242155L, 476864L, 712534L,
    1058409L, 2115018L, 1510342L, 1138213L, 333192L, 158820L,
    94379L, 348882L, 39290L, 29701L, 47258L, 69837L, 7884L, 49338L,
    22168L, 19397L, 19397L, 15984L, 8688L, 1200L, 1623L, 1291L,
    1356L, 707L, 875L, 875L, 222L, 883L, 0L, 0L, 129L, 0L, 0L,
    0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L)), .Names = c("week", "BY2010",
"BY2009", "BY2008", "BY2007", "BY2006", "BY2005"), class = "data.frame",
row.names = c(NA,
-53L))
winter
 w_melt <- melt(winter,id="week",variable="year");str(w_melt)
 #  Reorder DOESN'T WORK
 w_melt <-
reorder(w_melt $year,c("BY2005","BY2009","BY2006","BY2008","BY2007","BY2010"))
Let's drop you misguided use of reorder and use the correct method for reversing the print order of a factor. (Let's also drop the misguided assignment of a factor to what is the name of hte entire dataset.)


 w_melt$year <- factor(w_melt$year, levels= rev(levels(w_melt$year) ) )
# Should reverse the order

pdf("wtest.pdf")
ggplot(w_melt,aes(week,value/1000,colour)) + geom_line(size=.75)+ theme_bw() +
opts(title="Cumulative",axis.text.x = theme_text(angle=45,hjust=1)) +
 labs(y="Number of individuals X 1,000",x="week")
dev.off()

Felipe D. Carrillo
Supervisory Fishery Biologist
Department of the Interior
US Fish & Wildlife Service
California, USA



----- Original Message ----
From: David Winsemius <dwinsem...@comcast.net>
To: r-help Help <r-h...@stat.math.ethz.ch>
Sent: Mon, August 30, 2010 2:49:15 PM
Subject: Re: [R] reordering levels error


On Aug 30, 2010, at 5:25 PM, Felipe Carrillo wrote:

Please consider the following dataset:
I want to reorder the levels by year but get the following error:

Error in tapply(v, x, FUN, ...) : arguments must have same length

I suspect that I need to add the levels before I melt the dataset
but either way I have only use 'reorder' once before and can't figure
  out how it works..Thanks for any advice.

winter <- (list(week = c(26L, 27L, 28L, 29L, 30L, 31L, 32L, 33L,

I believe you omitted a necessary"structure" call above.

34L, 35L, 36L, 37L, 38L, 39L, 40L, 41L, 42L, 43L, 44L, 45L, 46L,
47L, 48L, 49L, 50L, 51L, 52L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L,
9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 21L,
22L, 23L, 24L, 25L, 26L), BY2010 = c(0L, 0L, 460L, 1126L, 1755L,
11153L, 27998L, 56336L, 12486L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L,
0L, 0L, 0L, 0L), BY2009 = c(0L, 95L, 341L, 373L, 2859L, 5769L,
33263L, 98435L, 345339L, 622621L, 349958L, 531232L, 652803L,
345358L, 142991L, 148883L, 957501L, 32495L, 14862L, 7210L, 9765L,
6846L, 5067L, 6201L, 3045L, 106230L, 1183L, 195L, 6855L, 10261L,
4179L, 650L, 240L, 165L, 1189L, 863L, 562L, 1350L, 188L, 479L,
770L, 0L, 558L, 314L, 147L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L),
    BY2008 = c(0L, 0L, 77L, 124L, 159L, 2376L, 9480L, 17314L,
    99574L, 323679L, 198211L, 93630L, 129183L, 111820L, 71260L,
    35241L, 14020L, 20778L, 21694L, 15016L, 13400L, 9187L, 3607L,
    2804L, 2417L, 5291L, 16216L, 898L, 558L, 709L, 972L, 61L,
    372L, 3086L, 10108L, 4295L, 882L, 2593L, 36L, 233L, 243L,
    0L, 70L, 272L, 308L, 134L, 40L, 0L, 0L, 0L, 0L, 0L, 0L),
    BY2007 = c(0L, 0L, 0L, 10775L, 4166L, 4958L, 16221L, 29401L,
    34951L, 33188L, 146044L, 105007L, 185297L, 159682L, 207537L,
    140694L, 128275L, 44274L, 27079L, 18928L, 10437L, 29984L,
    18395L, 25846L, 4573L, 31995L, 3679L, 1043L, 9636L, 1524L,
    827L, 7009L, 233L, 433L, 0L, 1103L, 257L, 128L, 66L, 70L,
    535L, 429L, 97L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L),
    BY2006 = c(0L, 707L, 2390L, 8860L, 24430L, 40885L, 72792L,
    205521L, 344493L, 662973L, 526409L, 631953L, 850491L, 842678L,
    445987L, 558152L, 332032L, 174326L, 80601L, 48696L, 98571L,
    103563L, 149469L, 78081L, 182478L, 2158L, 16566L, 4027L,
    2655L, 1112L, 567L, 2595L, 4976L, 6336L, 294L, 1758L, 291L,
    203L, 450L, 1098L, 788L, 195L, 532L, 0L, 0L, 0L, 0L, 0L,
    0L, 167L, 0L, 0L, 0L), BY2005 = c(0L, 0L, 868L, 2044L, 4064L,
    6049L, 9399L, 13304L, 45172L, 242155L, 476864L, 712534L,
    1058409L, 2115018L, 1510342L, 1138213L, 333192L, 158820L,
    94379L, 348882L, 39290L, 29701L, 47258L, 69837L, 7884L, 49338L,
    22168L, 19397L, 19397L, 15984L, 8688L, 1200L, 1623L, 1291L,
    1356L, 707L, 875L, 875L, 222L, 883L, 0L, 0L, 129L, 0L, 0L,
    0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L)), .Names = c("week", "BY2010",
"BY2009", "BY2008", "BY2007", "BY2006", "BY2005"), class = "data.frame",
row.names = c(NA,
-53L))
  str(winter)
  w_melt <- melt(winter,id="week",variable="year");str(w_melt)
  #  Reorder

Of course it "DOESN'T WORK". The second argument is much shorter than the
first.

  w_melt <-

reorder(w_melt $year,c("BY2005","BY2009","BY2006","BY2008","BY2007","BY2010"))

?reorder

(Not that you would want to have it "work" for the reasons cited below.)

Apparently all you want to do is reverse the ordering of w_melt $year, so assigning the output of reorder to what used to be a full dataframe is going to
create havoc.

  w_melt <- melt(winter,id="week",variable="year");str(w_melt)
'data.frame':    318 obs. of  3 variables:
$ week : int  26 27 28 29 30 31 32 33 34 35 ...
$ year : Factor w/ 6 levels "BY2010","BY2009",..: 1 1 1 1 1 1 1 1 1 1 ...
$ value: int  0 0 460 1126 1755 11153 27998 56336 12486 0 ...

  w_melt <- melt(winter,id="week",variable="year");str(w_melt)
'data.frame':    318 obs. of  3 variables:
$ week : int  26 27 28 29 30 31 32 33 34 35 ...
$ year : Factor w/ 6 levels "BY2010","BY2009",..: 1 1 1 1 1 1 1 1 1 1 ...
$ value: int  0 0 460 1126 1755 11153 27998 56336 12486 0 ...
levels(w_melt$year)
[1] "BY2010" "BY2009" "BY2008" "BY2007" "BY2006" "BY2005"

So try instead:

w_melt$year <- reorder(w_melt$year, 7-as.numeric(w_melt$year))
levels(w_melt$year)
[1] "BY2005" "BY2006" "BY2007" "BY2008" "BY2009" "BY2010"

You have not described what you are trying to show, so I have not proceeded any
further.

pdf("wtest.pdf")
ggplot(w_melt,aes(week,value/1000,colour=year,order= - as.numeric(year))) +
geom_line(size=.75)+  theme_bw() +
opts(title="Cumulative",axis.text.x = theme_text(angle=45,hjust=1)) +
  labs(y="Number of individuals X 1,000",x="week")
dev.off()

Felipe D. Carrillo

David Winsemius, MD
West Hartford, CT

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