Dear All,
I want to run neural network on my data.
i run these codes:
#load mydata
dim(mydata)
# 20 3111
library(neuralnet)
fm <- as.formula(paste("resp ~", paste(colnames(mydata)[1:3110],
collapse="+")))
out <- neuralnet(fm,data=mydata, hidden = 4, lifesign = "minimal",
linear.output = FALSE, t
Dear Thierry Onkelinx,
Thank you so much to answer me. But I do not know what information I should
send for you
I want to run neural network on my data.I run these codes and I saw this
Error in the last line
#load mydata
dim(mydata)
# 20 3111
library(neuralnet)
fm <- as.formula(paste("resp ~", pa
Dear All,
I want to run neural network on my data.
i run these codes:
#load mydata
dim(mydata)
# 20 3111
library(neuralnet)
fm <- as.formula(paste("resp ~", paste(colnames(mydata)[1:3110],
collapse="+")))
out <- neuralnet(fm,data=mydata, hidden = 4, lifesign = "minimal",
linear.output = FALSE, t
I am very grateful Dear Charles.
Soheila
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colnames(mydata)[, 1:3110] : incorrect number of dimensions
:(((
AND
fm <- as.formula(paste(colnames(mydata)[,3111],
paste(colnames(mydata)[,1:3110], collapse="+")))
> Error in colnames(mydata)[, 3111] : incorrect number of dimensions
Best,
Soheila
On Wed, Mar 25, 2015 at 11:1
se variable to your data set.
> mydata <- cbind(data, resp)
>
> # Run neuralnet
> out <- neuralnet(resp ~ ., data=mydata, hidden = 4, lifesign = "minimal",
>linear.output = FALSE, threshold = 0.1,na.rm =
> TRUE)
>
>
> Best,
> C
Dear All,
I want to run "neural network" on my dataset.
##
resp<-c(1,1,1,0,1,0,1,0,1,0,1,0,1,0,1,1,0,1,0,1)
dim(data)
#20*3110
out <- neuralnet(y ~ data, hidden = 4, lifesign = "minimal", linear.output
= FALSE, threshold = 0.1,na.rm = TRUE)
var1
var2
var3
var4
var5
var6
var7
var8
var9
var10
gold
2
3
1
2
4
0
1
4
4
3
2
2
4
2
4
3
4
2
4
4
4
2
3
3
0
0
4
1
0
2
4
4
2
1
4
0
3
2
0
0
2
4
4
2
3
4
0
2
2
0
0
0
3
4
2
2
2
3
2
2
0
0
0
2
4
2
2
4
1
1
2
0
0
3
3
3
2
3
Dear All
I install Rstudio in centos,
but I cannot run it,
I saw this error:
Stopping rstudio-server: [ OK ]
rserver[16661]: ERROR Unable to find libR.so in expected locations
within R Home directory /usr/local/lib/R; LOGGED FROM: bool
core::r_utildetectRLoc
Dear All
Pleade give me an URL that I can download R for cenos linux 64 bit.
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Dear All
How can I transform 1 column to 2 columns in R?
211217_s_at
GO:0005249
211217_s_at
GO:0005251
211217_s_at
GO:0005515
211217_s_at
GO:0015271
211217_s_at
GO:0030955
211217_s_at
GO:0005249
211217_s_at
GO:0005251
211217_s_at
GO:0005515
211217_s_at
GO:0015271
Dear All
I can not download R for Linux.
I do not know which file I should install?
Best Regards,
Soheila
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Thank you so much.
But I can not open this link, rseek.org:(
Best Regards,
Soheila
On Sat, May 12, 2012 at 2:40 PM, Sarah Goslee wrote:
> Hi,
>
> On May 12, 2012, at 5:23 AM, Soheila Khodakarim
> wrote:
>
> > Dear All
> >
> > Is there any function for
---
> Contact me: tal.gal...@gmail.com | 972-52-7275845
> Read me: www.talgalili.com (Hebrew) | www.biostatistics.co.il (Hebrew) |
> www.r-statistics.com (English)
>
> ----------
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Dear All
Is there any function for "median test" in R?
Best Regards,
Soheila
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Hi David,
Thanks a lot for your help.
But unfortunately I can not understand your mean:(
Could you explain more for me?
Best Wishes,
Soheila
On Tue, Apr 17, 2012 at 1:55 AM, David Winsemius wrote:
>
> On Apr 16, 2012, at 5:19 PM, Soheila Khodakarim wrote:
>
> Dear All
>
Dear All
I want to arrange our output in 3 columns in R.
Example:
N 0432003010 00514 00604 0056303430
03022
V 22.00 0.00e+00 15.000 15. 13. 1.30e+01 51.000
p 0.640625 2.910383e-11 0.4257812 0.4375 0.6875 3.356934e-04 0.2434998
Hi dear,
I want to estimate d.f for Chi-squared distribution:
est.chi[i,]<-c(
fitdistr(as.numeric(data2[,i]),"chi-squared",start=list(df=1))$estimate)Warning
message:In optim(x = c(7.86755, 7.50852, 7.86342, 7.70589, 7.70153,
7.58272, :
one-diml optimization by Nelder-Mead is unreliable:
use "
Dear ALL
I have this function in R:
func_LN <- function(data){
med_ge <- matrix(c(rep(NA,nrow(data)*ncol(data))), nrow = nrow(data),
ncol=ncol(data), byrow=TRUE)
T <- matrix(c(rep(NA,length(n)*ncol(data))), nrow = length(n),
ncol=ncol(data), byrow=TRUE)
Tdiff<- matrix(c(rep(NA,length(n)*ncol(da
Dear All,
I have a function that it works in all of data.
dim(data)
24(sample) 2600(variable)
data
[1][2] [3] [4] ... [2600]
[1] 10.73140 9.89450 9.12233 8.33994 9.43412 [2] 10.58010 10.02023 8.69257
8.46640 9.05038 [3] 10.80644 9.59991 8.71311 8.64168 9.083
I have this matrix in R,
s1 s2 s3 s4
g1 1 0 0 0
g1 0 1 0 0
g1 0 0 1 0
g2 1 0 0 0
g2 0 1 0 0
g3 1 0 0 0
g4 0 0 1 0
g4 1 0 0 0
g4 0 1 0 0
g4 0 0 0 1
I want to split this matrix based on its rows then sum based on columns,
finally I want to make this matr
Dear All
I want to chose just spacial columns in R. (read table)
data1<- read.table("/home/Documents/data.txt",header=F,sep = "\t", as.is =F)
data.2<-data1[sub.data[,1],]
The dimension of data.2 is correct but my data are transformed NA
head(data.2)
V1 V2 V3 V4 V5 V6 V7 V8 V9 V10 V11 V12
Dear All
I have 54000 plots in R,
How can I observe them?
If Iâ have to save them one-by-one?
Soheila
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