-----Original Message-----
From: R-help [mailto:[email protected]] On Behalf Of David L
Carlson
Sent: Tuesday, September 08, 2015 5:03 PM
To: Ivan Calandra; R list
Subject: Re: [R] help with reshape
I don't think it is platform or version specific. The purpose of the
missing value, NA (i.e. Not Available), is to flag the value for
special handling in some way, often by deletion. You cannot assume that
NA will be treated as any other value since that would defeat the whole
purpose of flagging the value as missing. Similar results occur if you
try to create tables or cross-tabulations of variables that include NAs
with table() and xtabs().
David
-----Original Message-----
From: R-help [mailto:[email protected]] On Behalf Of Ivan
Calandra
Sent: Tuesday, September 8, 2015 9:33 AM
To: R list
Subject: Re: [R] help with reshape
David,
It seems that your solution works, but why would that be? And why would
this NA behavior be platform or version specific?
I really need to check with a newer version of R...
Ivan
--
Ivan Calandra, PhD
University of Reims Champagne-Ardenne
GEGENAA - EA 3795
CREA - 2 esplanade Roland Garros
51100 Reims, France
+33(0)3 26 77 36 89
[email protected]
https://www.researchgate.net/profile/Ivan_Calandra
Le 08/09/15 16:23, David L Carlson a écrit :
I have not followed this thread closely, but this seems to work:
mydata$repet[is.na(mydata$repet)] <- 0 reshape(mydata,
timevar="Elem",
idvar=c("Etape","Ech", "repet", "dilution","Rincage"),
direction="wide", drop=c("ID","Nom_ech"))
If this is the expected outcome, the problem is the NA values in
repet. I changed them to 0 since you did not have any 0 entries in the
data (otherwise you could use 999 or some other value that does not
occur in the data). Change them back after running reshape().
-------------------------------------
David L Carlson
Department of Anthropology
Texas A&M University
College Station, TX 77840-4352
----Original Message-----
From: R-help [mailto:[email protected]] On Behalf Of Ivan
Calandra
Sent: Tuesday, September 8, 2015 7:56 AM
To: PIKAL Petr; R list
Subject: Re: [R] help with reshape
Thanks Petr,
It looks good, but I have to check in more details.
Can anyone help me with my original solution using reshape()? I'd
like
to understand what I did wrong.
reshape(mydata, timevar="Elem",
idvar=c("Etape","Ech","repet","dilution","Rincage"),
direction="wide",
drop=c("ID","Nom_ech"))
Thank you in advance
Ivan
--
Ivan Calandra, PhD
University of Reims Champagne-Ardenne
GEGENAA - EA 3795
CREA - 2 esplanade Roland Garros
51100 Reims, France
+33(0)3 26 77 36 89
[email protected]
https://www.researchgate.net/profile/Ivan_Calandra
Le 08/09/15 14:45, PIKAL Petr a écrit :
Hi
I looked into docs to reshape2 and played around a bit and by some
magical feature
test <- dcast(mm, Etape+Ech+repet+dilution+Rincage~Elem)
probably works as you expect.
I cannot comment your solution as I use reshape only sparsely.
Cheers
Petr
-----Original Message-----
From: R-help [mailto:[email protected]] On Behalf Of
Ivan
Calandra
Sent: Tuesday, September 08, 2015 2:18 PM
To: R list
Subject: Re: [R] help with reshape
Thank you Petr,
It kinda works, but not completely. The problem is that it produces
a column for each value ("Moyenne"), and not each element of
"Elem".
That means I have only one value per column, instead of up to 3.
For example, I have 3 columns for Al1670 instead of just one, and
each column contains maximum one value (the others being NA).
Not sure I am being clear...
By the way, I don't understand why my solution did not work; what
is
wrong there?
Thank you again!
Ivan
--
Ivan Calandra, PhD
University of Reims Champagne-Ardenne GEGENAA - EA 3795 CREA - 2
esplanade Roland Garros 51100 Reims, France
+33(0)3 26 77 36 89
[email protected]
https://www.researchgate.net/profile/Ivan_Calandra
Le 08/09/15 14:04, PIKAL Petr a écrit :
Hi
I am not sure if I got it
library(reshape2)
mm<-melt(mydata, measure.vars="Moyenne") test <- dcast(mm,
Etape+Ech+repet+dilution+Rincage~Elem+value)
gives me 3 rows but names need some tweaking afterwards.
nn<-paste("Moyenne", unlist(lapply(strsplit(names(test)[-(1:5)],
"_"),
"[", 1)), sep=".") names(test)[-(1:5)]<-nn
Cheers
Petr
-----Original Message-----
From: R-help [mailto:[email protected]] On Behalf Of
Ivan Calandra
Sent: Tuesday, September 08, 2015 12:33 PM
To: R list
Subject: [R] help with reshape
Dear users,
I'm having troubles with reshaping a data.frame from long to wide
format.
I copy the output of dput() at the end of the mail because it is
quite long.
Each row of the column "Elem" should be transposed to a new
column.
All variables "Etape", "Ech", "repet", "dilution", "Rincage"
define the samples. Meaning that for each unique combination of
these variables, I want a single row, and as many columns as
elements in
"Elem".
So I tried:
reshape(mydata, timevar="Elem",
idvar=c("Etape","Ech","repet","dilution","Rincage"),
direction="wide",
drop=c("ID","Nom_ech"))
The problem is that some columns are not used at all for defining
samples. In this case, the row "S1, F10-3, NA, 1, oui" is
missing,
but I don't understand why.
Can you help me with that? I have no idea what I am doing
wrong...
Thanks in advance,
Ivan
mydata <- structure(list(ID = c(543, 544, 545, 546, 547, 548,
549,
550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560, 561, 562,
11574, 11575, 11576, 11577, 11578, 11579, 11580, 11581, 11582,
11583,
683, 684, 685, 686, 687, 688, 689, 690, 691, 692, 693, 694, 695,
696,
697, 698, 699, 700, 701, 702), Nom_ech = c("Step1 B2", "Step1
B2",
"Step1 B2", "Step1 B2", "Step1 B2", "Step1 B2", "Step1 B2",
"Step1
B2",
"Step1 B2", "Step1 B2", "Step1 B2", "Step1 B2", "Step1 B2",
"Step1
B2",
"Step1 B2", "Step1 B2", "Step1 B2", "Step1 B2", "Step1 B2",
"Step1
B2",
"R1 S1 F1 0-3", "R1 S1 F1 0-3", "R1 S1 F1 0-3", "R1 S1 F1 0-3",
"R1 S1 F1 0-3", "R1 S1 F1 0-3", "R1 S1 F1 0-3", "R1 S1 F1 0-3",
"R1 S1 F1 0-3", "R1 S1 F1 0-3", "S1 F1 0-3 (1) *100", "S1 F1 0-3
(1) *100",
"S1 F1 0-3 (1) *100", "S1 F1 0-3 (1) *100", "S1 F1 0-3 (1) *100",
"S1 F1 0-3 (1) *100", "S1 F1 0-3 (1) *100", "S1 F1 0-3 (1) *100",
"S1 F1 0-3 (1) *100", "S1 F1 0-3 (1) *100", "S1 F1 0-3 (1) *100",
"S1 F1 0-3 (1) *100", "S1 F1 0-3 (1) *100", "S1 F1 0-3 (1) *100",
"S1 F1 0-3 (1) *100", "S1 F1 0-3 (1) *100", "S1 F1 0-3 (1) *100",
"S1 F1 0-3 (1) *100", "S1 F1 0-3 (1) *100", "S1 F1 0-3 (1) *100"
), Etape = c("S1", "S1", "S1", "S1", "S1", "S1", "S1", "S1",
"S1",
"S1", "S1", "S1", "S1", "S1", "S1", "S1", "S1", "S1", "S1", "S1",
"S1", "S1", "S1", "S1", "S1", "S1", "S1", "S1", "S1", "S1", "S1",
"S1", "S1", "S1", "S1", "S1", "S1", "S1", "S1", "S1", "S1", "S1",
"S1", "S1", "S1", "S1", "S1", "S1", "S1", "S1"), Ech = c("B2",
"B2", "B2", "B2", "B2", "B2", "B2", "B2", "B2", "B2", "B2", "B2",
"B2", "B2", "B2", "B2", "B2", "B2", "B2", "B2", "F10-3", "F10-3",
"F10-3", "F10-3", "F10-3", "F10-3", "F10-3", "F10-3", "F10-3",
"F10-3", "F10-3", "F10-3", "F10-3", "F10-3", "F10-3", "F10-3",
"F10-3", "F10-3", "F10-3", "F10-3", "F10-3", "F10-3", "F10-3",
"F10-3", "F10-
3", "F10-3", "F10-3", "F10-3", "F10-3", "F10-3"
), repet = c(NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA, NA,
NA, 1,
1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1), dilution =
c(1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
1, 1, 1, 1, 1, 1, 1, 1, 1, 100, 100, 100, 100, 100, 100, 100,
100,
100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100, 100),
Rincage = c("non", "non", "non", "non", "non", "non", "non",
"non", "non", "non", "non", "non", "non", "non", "non", "non",
"non", "non",
"non",
"non", "oui", "oui", "oui", "oui", "oui", "oui", "oui", "oui",
"oui",
"oui", "non", "non", "non", "non", "non", "non", "non", "non",
"non",
"non", "non", "non", "non", "non", "non", "non", "non", "non",
"non",
"non"), Elem = c("Al1670", "As1890", "As1937", "Ca1840",
"Ca3158",
"Cd2288", "Co2286", "Co2378", "Cr2055", "Cr2835", "Cu2247",
"Cu3247",
"Fe2382", "Fe2599", "K_7664", "Mg2795", "Mg2852", "Mn2576",
"Mn2605",
"Ni2216", "Al1670", "As1890", "As1937", "Ca1840", "Ca3158",
"Cd2288",
"Co2286", "Co2378", "Cr2055", "Cr2835", "Al1670", "As1890",
"As1937",
"Ca1840", "Ca3158", "Cd2288", "Co2286", "Co2378", "Cr2055",
"Cr2835",
"Cu2247", "Cu3247", "Fe2382", "Fe2599", "K_7664", "Mg2795",
"Mg2852",
"Mn2576", "Mn2605", "Ni2216"), Moyenne = c(NA, NA, 3.7455,
596.166666666667, 578.2, 0.1514, NA, 1.87225, NA, 0.3664, 1.859,
1.96766666666667, NA, NA, 9.29566666666667, 13.08, 12.69,
0.26875,
0.2877, 0.2395, 5732.33333333333, 3.9615, 3.48833333333333,
337.433333333333, 323.533333333333, 0.877166666666667,
0.292466666666667, NA, 1.79566666666667, NA, 106.326666666667,
NA,
2.2755, 291.933333333333, 278.833333333333, 0.819, NA, 3.946, NA,
NA,
1.47766666666667, 1.63266666666667, 40.44, 40.2533333333333,
128.9, 50.11, 49.02, 37.4733333333333, 37.775, 0.3764)), .Names =
c("ID", "Nom_ech", "Etape", "Ech", "repet", "dilution",
"Rincage",
"Elem", "Moyenne"), row.names = c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L,
9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 20L, 29L,
30L, 31L,
32L,
33L, 34L, 35L, 36L, 37L, 38L, 112L, 113L, 114L, 115L, 116L, 117L,
118L, 119L, 120L, 121L, 122L, 123L, 124L, 125L, 126L, 127L, 128L,
129L, 130L, 131L ), class = c("tbl_df", "tbl", "data.frame"))
--
Ivan Calandra, PhD
University of Reims Champagne-Ardenne GEGENAA - EA 3795 CREA - 2
esplanade Roland Garros 51100 Reims, France
+33(0)3 26 77 36 89
[email protected]
https://www.researchgate.net/profile/Ivan_Calandra
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