[R] aggregate output to data frame
Dear users,
i am trying to summarize data using "aggregate" with the following command:
aggregate(pcr$Ct,c(pcr["Gene"],pcr["Type"],pcr["Rep"]),FUN=function(x){c(mean(x),
sd(x), sd(x)/sqrt(sd(x)))})
and the structure of the resulting data frame is
'data.frame':66 obs. of 4 variables:
$ Gene: Factor w/ 22 levels "14-3-3e","Act5C",..: 1 2 3 4 5 6 7 8 9 10 ...
$ Type: Factor w/ 2 levels "Std","Unkn": 2 2 2 2 2 2 2 2 2 2 ...
$ Rep : int 1 1 1 1 1 1 1 1 1 1 ...
$ x : num [1:66, 1:3] 16.3 16.7 18.2 17.1 18.6 ...
The actual data is "bundled" in a matrix $x of the data frame. I would like to
have the columns of this matrix as individual numeric columns in the same data
frame instead of a matrix, but cant really figure it out how to do this in an
efficient way. Could someone help me with the construction of this?
Thanks a lot,
Cyrus
__
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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.
[R] memory usage upon web-query using try function
Dear Community,
my program below runs quite slow and I'm not sure whether the http-requests are
to blame for this. Also, when running it gradually increases the memory usage
enormously. After the program finishes, the memory is not freed. Can someone
point out a problem in the code? Sorry my basic question, but I am totally new
to R programming...
Many thans for your time,
Cyrus
require(XML)
row=0
URL="http://de.finance.yahoo.com/lookup?s=";
df <- matrix(ncol=6,nrow=10)
for (Ticker in 10:20)
{
URLTicker=paste(URL,Ticker,sep="")
query=try(readHTMLTable(
URLTicker,
which=2,
header=T,
colClasses = c("character","character","character",
"character","character","character"),
stringsAsFactors=F,)[1,],silent=T)
if (class(query)=="data.frame")
{
row=row+1
df[row,]=as.character(query)
}}
__
R-help@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.
[R] dynamic network analysis
Dear group, I am browsing the web to find suitable software for dynamic network analysis. I came across the sna-package under R, but this seems to do static analysis only. Is this right? Or is there a separate package for dynamic network analysis? Thanks __ R-help@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.
[R] Multiplication of data frame with vector
Dear group: sorry for my beginners question, but I'm rather new to R and was searching high and low without success: I have a data frame (df) with variables in the rows and observations in the columns like (the actual data frame has 15 columns and 1789 rows): early1 early2 early3 early4 early5 M386T1000 57056 55372 58012 55546 57309 M336T9011063 10312 10674 10840 11208 M427T9112064 11956 12692 12340 11924 M429T91 4594 3890 4096 4019 4204 M447T9026553 27647 26889 26751 26929 Now I'm trying to transform each value column-wise to make columns to all have the same mean with: df * mean(mean(df)) / mean(df). I just can't get my head around this: mean(df) gives me the correct column means vector, and mean(mean(df)) gives me the correct total mean. The above operation works correctly for individual rows, i.e. if I do df[1,]*mean(mean(df))/mean(df) Can someone tell me what I am doing wrong?? Thanks! __ R-help@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.
