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Tinus Sonnekus

2012-Sep-07 20:49 UTC

[R] Producing a table with mean values

Hi All,

I have a data set wit three size classes (pico, nano and micro) and 12
different sites (Seamounts). I want to produce a table with the mean and
standard deviation values for each site.

     Seamount     Pico    Nano   Micro    Total_Ch
1 Off_Mount 1 0.0691 0.24200 0.00100  0.31210
2 Off_Mount 1 0.0938 0.00521 0.02060  0.11961
3 Off_Mount 1 0.1130 0.20000 0.06620  0.37920
4 Off_Mount 1 0.0864 0.15900 0.22300  0.46840
5 Off_Mount 1 0.0262 0.04570 0.00261  0.07451
6 Off_Mount 2 0.0314 0.17400 0.12800  0.33340

I tried the following script but get an error message

*Error in results[i, "u.Pico", "u.Nano",
"u.Micro"] <- sapply(z, mean) : *
*  incorrect number of subscripts *

The code I used:

*SChla <- read.csv("SM_Chla_data.csv")*
*sm <- as.character(unique(SChla$Seamount))*
*
*
*results <-
matrix(NA,nrow=length(sm),ncol=6,dimnames=list(sm,c("u.Pico","u.Nano","u.Micro","sd.Pico","sd.Nano","sd.Micro")))
*
*
*
*for (i in sm){*
*z <- subset(SChla, Seamount==i, select=c(Pico, Nano, Micro))*
*results[i,"u.Pico","u.Nano","u.Micro"] <-
sapply(z, mean)*
*results[i,"sd.Pico","sd.Nano","sd.Micro"] <-
sapply(z, sd)*
*}*
*
*
*print(results)*

Please can some one advise me how to fix the error or maybe have an
alternative solution I will appreciate it.

Thank you.
Tinus

	[[alternative HTML version deleted]]

David Winsemius

2012-Sep-07 23:30 UTC

head link

[R] Producing a table with mean values

On Sep 7, 2012, at 1:49 PM, Tinus Sonnekus wrote:
> Hi All,
> 
> I have a data set wit three size classes (pico, nano and micro) and 12
> different sites (Seamounts). I want to produce a table with the mean and
> standard deviation values for each site.
> 
>     Seamount     Pico    Nano   Micro    Total_Ch
> 1 Off_Mount 1 0.0691 0.24200 0.00100  0.31210
> 2 Off_Mount 1 0.0938 0.00521 0.02060  0.11961
> 3 Off_Mount 1 0.1130 0.20000 0.06620  0.37920
> 4 Off_Mount 1 0.0864 0.15900 0.22300  0.46840
> 5 Off_Mount 1 0.0262 0.04570 0.00261  0.07451
> 6 Off_Mount 2 0.0314 0.17400 0.12800  0.33340
Assuming this is a dataframe named "dat"...
> with(dat, aggregate(cbind(Pico, Nano, Micro), list(Seamount), FUN=mean))    Group.1       Pico      Nano      Micro
1 Off_Mount 0.06998333 0.1376517 0.07356833


-- 
David.
> 
> I tried the following script but get an error message
> 
> *Error in results[i, "u.Pico", "u.Nano",
"u.Micro"] <- sapply(z, mean) : *
> *  incorrect number of subscripts *
> 
> The code I used:
> 
> *SChla <- read.csv("SM_Chla_data.csv")*
> *sm <- as.character(unique(SChla$Seamount))*
> *
> *
> *results <-
>
matrix(NA,nrow=length(sm),ncol=6,dimnames=list(sm,c("u.Pico","u.Nano","u.Micro","sd.Pico","sd.Nano","sd.Micro")))
> *
> *
> *
> *for (i in sm){*
> *z <- subset(SChla, Seamount==i, select=c(Pico, Nano, Micro))*
> *results[i,"u.Pico","u.Nano","u.Micro"] <-
sapply(z, mean)*
> *results[i,"sd.Pico","sd.Nano","sd.Micro"]
<- sapply(z, sd)*
> *}*
> *
> *
> *print(results)*
> 
> Please can some one advise me how to fix the error or maybe have an
> alternative solution I will appreciate it.
> 
> Thank you.
> Tinus
> 
> 	[[alternative HTML version deleted]]
> 
> ______________________________________________
> 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
Alameda, CA, USA

Rui Barradas

2012-Sep-07 23:40 UTC

head link

[R] Producing a table with mean values

Hello,

Try the following.

agg1 <- aggregate(cbind(Pico, Nano, Micro) ~ Seamount, data = SChla, mean)
agg2 <- aggregate(cbind(Pico, Nano, Micro) ~ Seamount, data = SChla, sd)

names(agg1)[-1] <- paste("u", names(agg1)[-1], sep = ".")
names(agg2)[-1] <- paste("sd", names(agg2)[-1], sep =
".")

merge(agg1, agg2)

Hope this helps,

Rui Barradas

Em 07-09-2012 21:49, Tinus Sonnekus escreveu:> Hi All,
>
> I have a data set wit three size classes (pico, nano and micro) and 12
> different sites (Seamounts). I want to produce a table with the mean and
> standard deviation values for each site.
>
>       Seamount     Pico    Nano   Micro    Total_Ch
> 1 Off_Mount 1 0.0691 0.24200 0.00100  0.31210
> 2 Off_Mount 1 0.0938 0.00521 0.02060  0.11961
> 3 Off_Mount 1 0.1130 0.20000 0.06620  0.37920
> 4 Off_Mount 1 0.0864 0.15900 0.22300  0.46840
> 5 Off_Mount 1 0.0262 0.04570 0.00261  0.07451
> 6 Off_Mount 2 0.0314 0.17400 0.12800  0.33340
>
> I tried the following script but get an error message
>
> *Error in results[i, "u.Pico", "u.Nano",
"u.Micro"] <- sapply(z, mean) : *
> *  incorrect number of subscripts *
>
> The code I used:
>
> *SChla <- read.csv("SM_Chla_data.csv")*
> *sm <- as.character(unique(SChla$Seamount))*
> *
> *
> *results <-
>
matrix(NA,nrow=length(sm),ncol=6,dimnames=list(sm,c("u.Pico","u.Nano","u.Micro","sd.Pico","sd.Nano","sd.Micro")))
> *
> *
> *
> *for (i in sm){*
> *z <- subset(SChla, Seamount==i, select=c(Pico, Nano, Micro))*
> *results[i,"u.Pico","u.Nano","u.Micro"] <-
sapply(z, mean)*
> *results[i,"sd.Pico","sd.Nano","sd.Micro"]
<- sapply(z, sd)*
> *}*
> *
> *
> *print(results)*
>
> Please can some one advise me how to fix the error or maybe have an
> alternative solution I will appreciate it.
>
> Thank you.
> Tinus
>
> 	[[alternative HTML version deleted]]
>
> ______________________________________________
> 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.

Duncan Murdoch

2012-Sep-07 23:55 UTC

head link

[R] Producing a table with mean values

On 12-09-07 4:49 PM, Tinus Sonnekus wrote:> Hi All,
>
> I have a data set wit three size classes (pico, nano and micro) and 12
> different sites (Seamounts). I want to produce a table with the mean and
> standard deviation values for each site.
>
>       Seamount     Pico    Nano   Micro    Total_Ch
> 1 Off_Mount 1 0.0691 0.24200 0.00100  0.31210
> 2 Off_Mount 1 0.0938 0.00521 0.02060  0.11961
> 3 Off_Mount 1 0.1130 0.20000 0.06620  0.37920
> 4 Off_Mount 1 0.0864 0.15900 0.22300  0.46840
> 5 Off_Mount 1 0.0262 0.04570 0.00261  0.07451
> 6 Off_Mount 2 0.0314 0.17400 0.12800  0.33340
Something like this could work:

library(tables)
tabular( Seamount ~ (Pico + Nano + Micro)*mean, data=SChla)

There are lots of variations, e.g. if you want the size classes as rows 
and the Seamounts as columns,

tabular( (Pico + Nano + Micro) ~ Seamount*mean, data=SChla)

It will also output LaTeX tables if you ask for them.

Duncan Murdoch
>
> I tried the following script but get an error message
>
> *Error in results[i, "u.Pico", "u.Nano",
"u.Micro"] <- sapply(z, mean) : *
> *  incorrect number of subscripts *
>
> The code I used:
>
> *SChla <- read.csv("SM_Chla_data.csv")*
> *sm <- as.character(unique(SChla$Seamount))*
> *
> *
> *results <-
>
matrix(NA,nrow=length(sm),ncol=6,dimnames=list(sm,c("u.Pico","u.Nano","u.Micro","sd.Pico","sd.Nano","sd.Micro")))
> *
> *
> *
> *for (i in sm){*
> *z <- subset(SChla, Seamount==i, select=c(Pico, Nano, Micro))*
> *results[i,"u.Pico","u.Nano","u.Micro"] <-
sapply(z, mean)*
> *results[i,"sd.Pico","sd.Nano","sd.Micro"]
<- sapply(z, sd)*
> *}*
> *
> *
> *print(results)*
>
> Please can some one advise me how to fix the error or maybe have an
> alternative solution I will appreciate it.

arun

2012-Sep-08 00:14 UTC

head link

[R] Producing a table with mean values

Hi,
Try this:
dat1<-read.table(text="
?Seamount??? Pico??? Nano? Micro??? Total_Ch
? 1 0.0691 0.24200 0.00100? 0.31210
? 1 0.0938 0.00521 0.02060? 0.11961
? 1 0.1130 0.20000 0.06620? 0.37920
? 1 0.0864 0.15900 0.22300? 0.46840
? 1 0.0262 0.04570 0.00261? 0.07451
? 2 0.0314 0.17400 0.12800? 0.33340
",sep="",header=TRUE,stringsAsFactors=FALSE)

library(data.table)
dat2<-data.table(dat1)
dat2mean<-dat2[,list(Pico=.Internal(mean(Pico)),Nano=.Internal(mean(Nano)),Micro=.Internal(mean(Micro))),by="Seamount"]
dat2mean
#?? Seamount?? Pico???? Nano??? Micro
#1:??????? 1 0.0777 0.130382 0.062682
#2:??????? 2 0.0314 0.174000 0.128000
dat2sd<-dat2[,list(sdPico=sd(Pico),sdNano=sd(Nano),sdMicro=sd(Micro)),by="Seamount"]
dat2sd
#? Seamount???? sdPico?? sdNano??? sdMicro
#1:??????? 1 0.03281463 0.101197 0.09340563
#2:??????? 2???????? NA?????? NA???????? NA

?dat3comb<-data.frame(cbind(dat2mean,dat2sd))
?dat3comb[,-5]
? Seamount?? Pico???? Nano??? Micro???? sdPico?? sdNano??? sdMicro
1??????? 1 0.0777 0.130382 0.062682 0.03281463 0.101197 0.09340563
2??????? 2 0.0314 0.174000 0.128000???????? NA?????? NA???????? NA


A.K.



----- Original Message -----
From: Tinus Sonnekus <tsonnekus at gmail.com>
To: r-help at r-project.org
Cc: 
Sent: Friday, September 7, 2012 4:49 PM
Subject: [R] Producing a table with mean values

Hi All,

I have a data set wit three size classes (pico, nano and micro) and 12
different sites (Seamounts). I want to produce a table with the mean and
standard deviation values for each site.

? ?  Seamount? ?  Pico? ? Nano?  Micro? ? Total_Ch
1 Off_Mount 1 0.0691 0.24200 0.00100? 0.31210
2 Off_Mount 1 0.0938 0.00521 0.02060? 0.11961
3 Off_Mount 1 0.1130 0.20000 0.06620? 0.37920
4 Off_Mount 1 0.0864 0.15900 0.22300? 0.46840
5 Off_Mount 1 0.0262 0.04570 0.00261? 0.07451
6 Off_Mount 2 0.0314 0.17400 0.12800? 0.33340

I tried the following script but get an error message

*Error in results[i, "u.Pico", "u.Nano",
"u.Micro"] <- sapply(z, mean) : *
*? incorrect number of subscripts *

The code I used:

*SChla <- read.csv("SM_Chla_data.csv")*
*sm <- as.character(unique(SChla$Seamount))*
*
*
*results <-
matrix(NA,nrow=length(sm),ncol=6,dimnames=list(sm,c("u.Pico","u.Nano","u.Micro","sd.Pico","sd.Nano","sd.Micro")))
*
*
*
*for (i in sm){*
*z <- subset(SChla, Seamount==i, select=c(Pico, Nano, Micro))*
*results[i,"u.Pico","u.Nano","u.Micro"] <-
sapply(z, mean)*
*results[i,"sd.Pico","sd.Nano","sd.Micro"] <-
sapply(z, sd)*
*}*
*
*
*print(results)*

Please can some one advise me how to fix the error or maybe have an
alternative solution I will appreciate it.

Thank you.
Tinus

??? [[alternative HTML version deleted]]

______________________________________________
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.

John Kane

2012-Sep-08 17:19 UTC

head link

[R] Producing a table with mean values

x  <-   " Seamount     Pico    Nano   Micro    Total_Ch
Off_Mount1 0.0691 0.24200 0.00100  0.31210
Off_Mount1 0.0938 0.00521 0.02060  0.11961
Off_Mount1 0.1130 0.20000 0.06620  0.37920
 Off_Mount1 0.0864 0.15900 0.22300  0.46840
Off_Mount1 0.0262 0.04570 0.00261  0.07451
Off_Mount2 0.0314 0.17400 0.12800  0.33340
Off_Mount2 0.0314 0.17400 0.12800  0.23340
Off_Mount2 0.0414 0.17400 0.02800  0.23340"

xx <- read.table(textConnection(x), header=TRUE, as.is=TRUE)

library(reshape)
meltx  <-  melt(xx)

tabx <-  ddply(nn, .(Seamount, variable),  summarize, mean = mean(value), sd
= sd(value))

tabx

John Kane
Kingston ON Canada

> -----Original Message-----
> From: tsonnekus at gmail.com
> Sent: Fri, 7 Sep 2012 22:49:55 +0200
> To: r-help at r-project.org
> Subject: [R] Producing a table with mean values
> 
> Hi All,
> 
> I have a data set wit three size classes (pico, nano and micro) and 12
> different sites (Seamounts). I want to produce a table with the mean and
> standard deviation values for each site.
> 
>      Seamount     Pico    Nano   Micro    Total_Ch
> 1 Off_Mount 1 0.0691 0.24200 0.00100  0.31210
> 2 Off_Mount 1 0.0938 0.00521 0.02060  0.11961
> 3 Off_Mount 1 0.1130 0.20000 0.06620  0.37920
> 4 Off_Mount 1 0.0864 0.15900 0.22300  0.46840
> 5 Off_Mount 1 0.0262 0.04570 0.00261  0.07451
> 6 Off_Mount 2 0.0314 0.17400 0.12800  0.33340
> 
> I tried the following script but get an error message
> 
> *Error in results[i, "u.Pico", "u.Nano",
"u.Micro"] <- sapply(z, mean) :
> *
> *  incorrect number of subscripts *
> 
> The code I used:
> 
> *SChla <- read.csv("SM_Chla_data.csv")*
> *sm <- as.character(unique(SChla$Seamount))*
> *
> *
> *results <-
>
matrix(NA,nrow=length(sm),ncol=6,dimnames=list(sm,c("u.Pico","u.Nano","u.Micro","sd.Pico","sd.Nano","sd.Micro")))
> *
> *
> *
> *for (i in sm){*
> *z <- subset(SChla, Seamount==i, select=c(Pico, Nano, Micro))*
> *results[i,"u.Pico","u.Nano","u.Micro"] <-
sapply(z, mean)*
> *results[i,"sd.Pico","sd.Nano","sd.Micro"]
<- sapply(z, sd)*
> *}*
> *
> *
> *print(results)*
> 
> Please can some one advise me how to fix the error or maybe have an
> alternative solution I will appreciate it.
> 
> Thank you.
> Tinus
> 
> 	[[alternative HTML version deleted]]
> 
> ______________________________________________
> 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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arun

2012-Sep-08 18:20 UTC

head link

[R] Producing a table with mean values

HI John,

I got it.? Please disregard my previous email.
I guess the code should be:

tabx <-? ddply(meltx, .(Seamount, variable),? summarize, mean = mean(value),
sd = sd(value))


A.K.

----- Original Message -----
From: John Kane <jrkrideau at inbox.com>
To: Tinus Sonnekus <tsonnekus at gmail.com>; r-help at r-project.org
Cc: 
Sent: Saturday, September 8, 2012 1:19 PM
Subject: Re: [R] Producing a table with mean values

x? <-?  " Seamount? ?  Pico? ? Nano?  Micro? ? Total_Ch
Off_Mount1 0.0691 0.24200 0.00100? 0.31210
Off_Mount1 0.0938 0.00521 0.02060? 0.11961
Off_Mount1 0.1130 0.20000 0.06620? 0.37920
Off_Mount1 0.0864 0.15900 0.22300? 0.46840
Off_Mount1 0.0262 0.04570 0.00261? 0.07451
Off_Mount2 0.0314 0.17400 0.12800? 0.33340
Off_Mount2 0.0314 0.17400 0.12800? 0.23340
Off_Mount2 0.0414 0.17400 0.02800? 0.23340"

xx <- read.table(textConnection(x), header=TRUE, as.is=TRUE)

library(reshape)
meltx? <-? melt(xx)

tabx <-? ddply(nn, .(Seamount, variable),? summarize, mean = mean(value), sd
= sd(value))

tabx

John Kane
Kingston ON Canada

> -----Original Message-----
> From: tsonnekus at gmail.com
> Sent: Fri, 7 Sep 2012 22:49:55 +0200
> To: r-help at r-project.org
> Subject: [R] Producing a table with mean values
> 
> Hi All,
> 
> I have a data set wit three size classes (pico, nano and micro) and 12
> different sites (Seamounts). I want to produce a table with the mean and
> standard deviation values for each site.
> 
>? ? ? Seamount? ?  Pico? ? Nano?  Micro? ? Total_Ch
> 1 Off_Mount 1 0.0691 0.24200 0.00100? 0.31210
> 2 Off_Mount 1 0.0938 0.00521 0.02060? 0.11961
> 3 Off_Mount 1 0.1130 0.20000 0.06620? 0.37920
> 4 Off_Mount 1 0.0864 0.15900 0.22300? 0.46840
> 5 Off_Mount 1 0.0262 0.04570 0.00261? 0.07451
> 6 Off_Mount 2 0.0314 0.17400 0.12800? 0.33340
> 
> I tried the following script but get an error message
> 
> *Error in results[i, "u.Pico", "u.Nano",
"u.Micro"] <- sapply(z, mean) :
> *
> *? incorrect number of subscripts *
> 
> The code I used:
> 
> *SChla <- read.csv("SM_Chla_data.csv")*
> *sm <- as.character(unique(SChla$Seamount))*
> *
> *
> *results <-
>
matrix(NA,nrow=length(sm),ncol=6,dimnames=list(sm,c("u.Pico","u.Nano","u.Micro","sd.Pico","sd.Nano","sd.Micro")))
> *
> *
> *
> *for (i in sm){*
> *z <- subset(SChla, Seamount==i, select=c(Pico, Nano, Micro))*
> *results[i,"u.Pico","u.Nano","u.Micro"] <-
sapply(z, mean)*
> *results[i,"sd.Pico","sd.Nano","sd.Micro"]
<- sapply(z, sd)*
> *}*
> *
> *
> *print(results)*
> 
> Please can some one advise me how to fix the error or maybe have an
> alternative solution I will appreciate it.
> 
> Thank you.
> Tinus
> 
> ??? [[alternative HTML version deleted]]
> 
> ______________________________________________
> 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.
____________________________________________________________
GET FREE SMILEYS FOR YOUR IM & EMAIL - Learn more at
http://www.inbox.com/smileys
Works with AIM?, MSN? Messenger, Yahoo!? Messenger, ICQ?, Google Talk? and most
webmails

______________________________________________
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.

John Kane

2012-Sep-09 12:09 UTC

head link

[R] Producing a table with mean values

My stupdity  I made a late edit for clarity and forgot to run it to be sure I
had changed everything.
It should read:
 tabx <-  ddply(meltx, .(Seamount, variable),  summarize, mean = mean(value),
 sd = sd(value))

My appologies.

John Kane
Kingston ON Canada

> -----Original Message-----
> From: smartpink111 at yahoo.com
> Sent: Sat, 8 Sep 2012 11:14:11 -0700 (PDT)
> To: jrkrideau at inbox.com
> Subject: Re: [R] Producing a table with mean values
> 
> Hi John,
> 
> I am getting error messages with your solution.?tabx <-? ddply(nn,
> .(Seamount, variable),? summarize, mean = mean(value), sd = sd(value))
> #Error in empty(.data) : object 'nn' not found
> 
> A.K.
> 
> 
> 
> ----- Original Message -----
> From: John Kane <jrkrideau at inbox.com>
> To: Tinus Sonnekus <tsonnekus at gmail.com>; r-help at r-project.org
> Cc:
> Sent: Saturday, September 8, 2012 1:19 PM
> Subject: Re: [R] Producing a table with mean values
> 
> x? <-?  " Seamount? ?  Pico? ? Nano?  Micro? ? Total_Ch
> Off_Mount1 0.0691 0.24200 0.00100? 0.31210
> Off_Mount1 0.0938 0.00521 0.02060? 0.11961
> Off_Mount1 0.1130 0.20000 0.06620? 0.37920
> Off_Mount1 0.0864 0.15900 0.22300? 0.46840
> Off_Mount1 0.0262 0.04570 0.00261? 0.07451
> Off_Mount2 0.0314 0.17400 0.12800? 0.33340
> Off_Mount2 0.0314 0.17400 0.12800? 0.23340
> Off_Mount2 0.0414 0.17400 0.02800? 0.23340"
> 
> xx <- read.table(textConnection(x), header=TRUE, as.is=TRUE)
> 
> library(reshape)
> meltx? <-? melt(xx)
> 
> tabx <-? ddply(nn, .(Seamount, variable),? summarize, mean =
mean(value),
> sd = sd(value))
> 
> tabx
> 
> John Kane
> Kingston ON Canada
> 
> 
>> -----Original Message-----
>> From: tsonnekus at gmail.com
>> Sent: Fri, 7 Sep 2012 22:49:55 +0200
>> To: r-help at r-project.org
>> Subject: [R] Producing a table with mean values
>> 
>> Hi All,
>> 
>> I have a data set wit three size classes (pico, nano and micro) and 12
>> different sites (Seamounts). I want to produce a table with the mean
and
>> standard deviation values for each site.
>> 
> >? ? ? Seamount? ?  Pico? ? Nano?  Micro? ? Total_Ch
>> 1 Off_Mount 1 0.0691 0.24200 0.00100? 0.31210
>> 2 Off_Mount 1 0.0938 0.00521 0.02060? 0.11961
>> 3 Off_Mount 1 0.1130 0.20000 0.06620? 0.37920
>> 4 Off_Mount 1 0.0864 0.15900 0.22300? 0.46840
>> 5 Off_Mount 1 0.0262 0.04570 0.00261? 0.07451
>> 6 Off_Mount 2 0.0314 0.17400 0.12800? 0.33340
>> 
>> I tried the following script but get an error message
>> 
>> *Error in results[i, "u.Pico", "u.Nano",
"u.Micro"] <- sapply(z, mean) :
>> *
>> *? incorrect number of subscripts *
>> 
>> The code I used:
>> 
>> *SChla <- read.csv("SM_Chla_data.csv")*
>> *sm <- as.character(unique(SChla$Seamount))*
>> *
>> *
>> *results <-
>>
matrix(NA,nrow=length(sm),ncol=6,dimnames=list(sm,c("u.Pico","u.Nano","u.Micro","sd.Pico","sd.Nano","sd.Micro")))
>> *
>> *
>> *
>> *for (i in sm){*
>> *z <- subset(SChla, Seamount==i, select=c(Pico, Nano, Micro))*
>> *results[i,"u.Pico","u.Nano","u.Micro"]
<- sapply(z, mean)*
>>
*results[i,"sd.Pico","sd.Nano","sd.Micro"] <-
sapply(z, sd)*
>> *}*
>> *
>> *
>> *print(results)*
>> 
>> Please can some one advise me how to fix the error or maybe have an
>> alternative solution I will appreciate it.
>> 
>> Thank you.
>> Tinus
>> 
>> ??? [[alternative HTML version deleted]]
>> 
>> ______________________________________________
>> 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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R help - Sep 2012 - Producing a table with mean values

[R] Producing a table with mean values

[R] Producing a table with mean values

[R] Producing a table with mean values

[R] Producing a table with mean values

[R] Producing a table with mean values

[R] Producing a table with mean values

[R] Producing a table with mean values

[R] Producing a table with mean values

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