[R] R error: Not able to launch R 2.6.2

2008-03-09 Thread Keizer_71

Hi Everyone,

I am having trouble using R. I am not sure what happen but when i start R, i
am getting error message

Fatal Error: Unable to restore saved data in .RData. 

-I restarted my pc but still same error
-I reinstall R but still same error
-deleted the R folder and have a fresh re-install but still same issue.

I am not sure what else i can do. 

any advice?
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[R] p-adjust using Benjamn and Hochberg

2008-03-09 Thread Keizer_71

Hello,

I am trying to use the p.adjust function for multiple testing.

here is what i have

9997201674_s_at  0.327547396
9998221013_s_at  0.834211067
221685_s_at  0.185099475

I import them from excel have have the gene symbol as well as the pvalue

here is the issue

 pa-p.adjust(pt,method=BH)
Error in p[nna] : object is not subsettable
In addition: Warning message:
In is.na(p) : is.na() applied to non-(list or vector) of type 'closure'
 adjust-sum(pa0.1)

Is there anything i need to change?

thanks,
k
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[R] Excel export into R

2008-03-05 Thread Keizer_71

Hello,

I have this in excel

Control
543_BU
123_AT
432_CU


I want to be able to import to R so that it will read like this

c-c(543_BU,123_AT,432_CU)

output:
[1] 543_BU 123_AT 432_CU

This is just a short version. I have about 20 rows and i need a simpler
way instead of typing each one.

thanks
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[R] Export csv data

2008-03-04 Thread Keizer_71

Hi Everyone,

Thanks for all the help with the previous queries.

Here is what i want to do. i have 2 probesets--calculate all the
variance accross all the probesets--filter out probesets that are low so
now i ended up with only 1. The 1 is fine but when i export to
excel, it is missing the probeID. Here are my code and examples.

#calculate the variance across the probesets and plot
signals#

library(xlsReadWrite)

x-1:2
y-2:141
data.matrix-data.matrix(data[,y])#create data.matrix
variableprobe-apply(data.matrix[x,],1,var)
variableprobe #output variance across probesets 
hist(variableprobe) #displaying histogram of variableprobe
write.xls(cbind(data[1],
Variance=apply(data[,y],1,var)),file='c://variance.csv')
#export as a .csv file. 

Output: 
ProbeID  Variance
224588_at   21.58257457


##
#filter out low variance and Select 10,000
probesets##

data.sub = data.matrix[order(variableprobe,decreasing=TRUE),][1:1,]
dim(data.sub)

write.table(data.sub, file = c://data_output.csv, sep = ,, col.names =
NA) 

Output:
Sample_1_D  Sample_1_C  Sample_2_D  Sample_2_C
1   2.425509867 11.34031409 11.46868531 11.75741478


what i need is this

ProbeID   Sample_1_D  Sample_1_C   
Sample_2_D   
Sample_2_C
1224588_at   2.425509867  11.34031409  
11.46868531   
11.75741478

This is just the short version but there are 1 rows and 140 columns.

thanks



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[R] paired or one-sample t-Test

2008-03-04 Thread Keizer_71

Hi Guys,

I am having a real hard time trying to figure out for microarry.

Here is my code

One-Sample t-Test

dim(data.sub)
[1] 1   140 ##there are 1 probesets and 140 columns 

hist(data.sub) ## Histogram. Identify if the probesets are normal
distributed
q-rnorm(1) ##generate 1 random, normal distributed values
qqplot(data.sub,q)) ##Show the plot of the probeset
qqline(data.sub,q) ##Show the line going through the plot
t.test(data.sub,mu=0) ## One Sample t-test: identify any significant in the
probeset

When i plot and use histogram, it is showing a nice normal distribution.

What i want to do is to use classical paired or one-sample test for each row
(1 rows)

what is the best way to do this?

thanks,
kei
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[R] paired t-Test in R

2008-03-04 Thread Keizer_71



Keizer_71 wrote:
 
 Hi Guys,
 
 I am having a real hard time trying to figure out for microarry.
 
 Here is my code
 
 One-Sample t-Test
 
 dim(data.sub)
 [1] 1   140 ##there are 1 probesets and 140 columns 
 
 Example of the table in excel
 
  sample_drug   sample_controlsample_drug   
 sample_controletc
 1  .567 .321   .674   
 .311  
 
 hist(data.sub) ## Histogram. Identify if the probesets are normal
 distributed
 q-rnorm(1) ##generate 1 random, normal distributed values
 qqplot(data.sub,q)) ##Show the plot of the probeset
 qqline(data.sub,q) ##Show the line going through the plot
 t.test(data.sub,mu=0) ## One Sample t-test: identify any significant in
 the probeset
 
 When i plot and use histogram, it is showing a nice normal distribution.
 
 What i want to do is to use classical paired test for each row 
 
 what is the best way to do this?
 
 thanks,
 kei
 

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[R] Calculating the t-test for each row

2008-03-03 Thread Keizer_71

Hi Everyone,

I need some simple help.

Here are my codes

##will give me 1 probesets
data.sub = data.matrix[order(variableprobe,decreasing=TRUE),][1:1,]
dim(data.sub)
data_output-write.table(data.sub, file = c://data_output.csv, sep = ,,
col.names = NA) 

When i export to excel, it shows me this. This is just a short version.
There are 1000 rows and 140 columns

Sample_1_D  Sample_1_C  Sample_2_D  Sample_2_C
1   2.425509867 11.34031409 11.46868531 11.75741478


Here is my question: How do create a new row and calculate the t-test so
that it will give me the p-value

Here is what i am looking for. The p-value is not correct but just an
example. It needs to calculate the entire each row. There are 1 rows and
140 columns.

thanks
Kei

Sample_1_D  Sample_1_C  Sample_2_D  Sample_2_Cp-value
1   2.425509867 11.34031409 11.46868531 11.75741478 
.0034

I tried something like this.

t.test(data.sub,mu=0)

I am pretty new to R. I think it is showing me the entire p-value.



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Re: [R] Newbie: Incorrect number of dimensions

2008-03-02 Thread Keizer_71

Here is the structure

 str(all_differ)
 num [1:6280, 1:8] 2.22e-16 2.22e-16 2.22e-16 2.22e-16 2.22e-16 ...
 - attr(*, dimnames)=List of 2
  ..$ : NULL
  ..$ : chr [1:8] rawp Bonferroni Holm Hochberg ...

I tried, but it still giving me the same error message Incorrect Dimension

probe.names-all_differ[[1]][all_differ[[6280]][,BY]=0.01]

Am i using the wrong dimension?

thanks,
Keizer



jholtman wrote:
 
 It would be helpful if you provided commented, minimal,
 self-contained, reproducible code.
 
 What does str(all_differ) say?  That will tell you the structure of
 the object that you are trying to work with.
 
 On Sat, Mar 1, 2008 at 3:35 AM, Keizer_71 [EMAIL PROTECTED] wrote:

  dim(data.sub)
 [1] 1   140

 #extracting all differentially express genes##
 library(multtest)
 two_side- (1-pt(abs(data.sub),50))*2
 diff- mt.rawp2adjp(two_side)
 all_differ-diff[[1]][37211:1,]
 all_differ

 #list of differentially expressed genes##
  probe.names-
 + all_differ[[2]][all_differ[[1]][,BY]=0.01]

 Error in all_differ[[1]][, BY] : incorrect number of dimensions

 Hi,

 I am pretty new with R. What i am trying to do is to find all
 differentially
 express genes and list of differentially expressed genes. Am i doing
 something wrong?

 I keep getting incorrect number of dimensions. How do i find out the
 correct
 dimensions?

 thanks,
 Keizer

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 -- 
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 Cincinnati, OH
 +1 513 646 9390
 
 What is the problem you are trying to solve?  Tell me what you want to
 do, not how you want to do it.
 
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[R] Newbie:Export Data into Excel from R

2008-03-02 Thread Keizer_71

Hi,

All i want is to export my list into c: drive and save it as csv file and
manually import into Excel.

I have the read the article but i am having issues
http://pbil.univ-lyon1.fr/library/base/html/write.table.html


 excel-write.table(probe_gene, file = c:\foo.csv, sep = ,, col.names =
 NA)
Error in file(file, ifelse(append, a, w)) : 

unable to open connection
In addition: Warning message:
cannot open file 'c:\foo.csv', reason 'Invalid argument' 

any suggestions?

thanks,
chris


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Re: [R] Variance Calculation in R

2008-03-02 Thread Keizer_71

sorry...in step 4-i need the R code to output in this format when i export to
excel.

ProbeID Variance
1   224588_at   21.58257457

thanks 



Keizer_71 wrote:
 
 Hello,
 
 Thanks everyone for helping me with the previous queries.
 
 step 1: Here is the orginal data: short sample
 
   ProbeID Sample_1_D  Sample_1_CSample_2_D   Sample_2_C
 1 224588_at   2.425509867 11.34031409   11.46868531  11.75741478
 
 step 2: i calculate the variance of the sample using this R code
 
 x-1:2
 y-2:141
 data.matrix-data.matrix(data[,y])#create data.matrix
 variableprobe-apply(data.matrix[x,],1,var)
 
 step 3: however, when i type in variableprobe, it gives me this.
 
 1 21.58257457
 
 step 4: I need the code to output this:
 
   ProbeID Variance
 1 224588_at   21.58257457
 
 
 What do i need to do to modify the code to give me better description like
 the one above?
 
 thank.
 Keizer
   
 
 
 

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[R] Variance Calculation in R

2008-03-02 Thread Keizer_71

Hello,

Thanks everyone for helping me with the previous queries.

step 1: Here is the orginal data: short sample

ProbeID Sample_1_D  Sample_1_CSample_2_D   Sample_2_C
1   224588_at   2.425509867 11.34031409   11.46868531  11.75741478

step 2: i calculate the variance of the sample using this R code

x-1:2
y-2:141
data.matrix-data.matrix(data[,y])#create data.matrix
variableprobe-apply(data.matrix[x,],1,var)

step 3: however, when i type in variableprobe, it gives me this.

1   21.58257457

step 4: I need the code to output this:

ProbeID Variance
1   224588_at   21.58257457


What do i need to do to modify the code to give me better description like
the one above?

thank.
Keizer



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Re: [R] Variance Calculation in R

2008-03-02 Thread Keizer_71

Hi Henrique,

It is definitely better, but it doesn't show me the ProbeID which identify
the probes name

Here was the result when i export to excel with your code.

 Variance 
1 2.425509867 21.6216446425273  


any suggestions?

thanks,
Kei


Keizer_71 wrote:
 
 Hello,
 
 Thanks everyone for helping me with the previous queries.
 
 step 1: Here is the orginal data: short sample
 
   ProbeID Sample_1_D  Sample_1_CSample_2_D   Sample_2_C
 1 224588_at   2.425509867 11.34031409   11.46868531  11.75741478
 
 step 2: i calculate the variance of the sample using this R code
 
 x-1:2
 y-2:141
 data.matrix-data.matrix(data[,y])#create data.matrix
 variableprobe-apply(data.matrix[x,],1,var)
 
 step 3: however, when i type in variableprobe, it gives me this.
 
 1 21.58257457
 
 step 4: I need the code to output this:
 
   ProbeID Variance
 1 224588_at   21.58257457
 
 
 What do i need to do to modify the code to give me better description like
 the one above?
 
 thank.
 Keizer
   
 
 
 

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Re: [R] Variance Calculation in R

2008-03-02 Thread Keizer_71

unfortunately, it is not showing probeID



Henrique Dallazuanna wrote:
 
 Try this:
 
 write.table(cbind(data.matrix[1], Variance = apply(data.matrix[,-1],
 1, var)),file='file.xls')
 
 
 On 02/03/2008, Keizer_71 [EMAIL PROTECTED] wrote:

 sorry...in step 4-i need the R code to output in this format when i
 export
 to
 excel.

  ProbeID Variance
 1224588_at   21.58257457

 thanks



 Keizer_71 wrote:
 
  Hello,
 
  Thanks everyone for helping me with the previous queries.
 
  step 1: Here is the orginal data: short sample
 
 ProbeID Sample_1_D  Sample_1_CSample_2_D   Sample_2_C
  1  224588_at   2.425509867 11.34031409   11.46868531  11.75741478
 
  step 2: i calculate the variance of the sample using this R code
 
  x-1:2
  y-2:141
  data.matrix-data.matrix(data[,y])#create data.matrix
  variableprobe-apply(data.matrix[x,],1,var)
 
  step 3: however, when i type in variableprobe, it gives me this.
 
  1  21.58257457
 
  step 4: I need the code to output this:
 
 ProbeID Variance
  1  224588_at   21.58257457
 
 
  What do i need to do to modify the code to give me better description
 like
  the one above?
 
  thank.
  Keizer
 
 
 
 

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 -- 
 Henrique Dallazuanna
 Curitiba-Paraná-Brasil
 25° 25' 40 S 49° 16' 22 O
 
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[R] R data Export to Excel

2008-03-02 Thread Keizer_71

Here is my R Code

x-1:2
y-2:141
data.matrix-data.matrix(data[,y])#create data.matrix
variableprobe-apply(data.matrix[x,],1,var)
variableprobe #output variance across probesets 
hist(variableprobe) #displaying histogram of variableprobe
write.table(cbind(data[1],
Variance=apply(data[,y],1,var)),file='c://variance.csv')
#export as a .csv file. 

Output in Excel
all in 1 column.

ProbeID Variance
1 224588_at 21.5825745738848

How do i separate them so that i can have three columns

 ProbeID  Variance
1   224588_at   21.582.

thanks,
Kei


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[R] Newbie: Incorrect number of dimensions

2008-03-01 Thread Keizer_71

 dim(data.sub)
[1] 1   140

#extracting all differentially express genes##
library(multtest)
two_side- (1-pt(abs(data.sub),50))*2
diff- mt.rawp2adjp(two_side)
all_differ-diff[[1]][37211:1,]
all_differ

#list of differentially expressed genes##
 probe.names-
+ all_differ[[2]][all_differ[[1]][,BY]=0.01]

Error in all_differ[[1]][, BY] : incorrect number of dimensions

Hi,

I am pretty new with R. What i am trying to do is to find all differentially
express genes and list of differentially expressed genes. Am i doing
something wrong?

I keep getting incorrect number of dimensions. How do i find out the correct
dimensions? 

thanks,
Keizer

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Re: [R] Newbie: Measuring distance between clusters.

2008-02-24 Thread Keizer_71

It works! I was banging my head for a week. 

thank you so much.



Bill.Venables wrote:
 
 One way to do it is to find the distances between ther centers (=
 centres in English) of the clusters.  
 
 dist(kc$centers)
 
 It rather depends on how you define distances between clusters, though.
 There are many possibilities.
 
 -Original Message-
 From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED]
 On Behalf Of Keizer_71
 Sent: Saturday, 23 February 2008 7:40 PM
 To: r-help@r-project.org
 Subject: [R] Newbie: Measuring distance between clusters.
 
 
 Hi,
 
 I had 1 genes, and I clustered them using K-means clustering in R.
 
 kc-kmeans(data.sub,7)
 
 kc
 n cluster sum of squares by cluster:
 [1]  60631.76 135886.19 159049.71 101783.27  90040.72 183335.60
 158867.81
 
 Available components:
 [1] cluster  centers  withinss size
 
 I am very new to R. How do i measure the distance between those cluster?
 
 I tried
 
 I am trying to do a complete linkage
 
z-hclust(kc,method=complete)
 
 Error in if (n  2) stop(must have n = 2 objects to cluster) : 
 argument is of length zero
 
 thanks.
 
   
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Re: [R] Newbie: Where is lmFit function?

2008-02-24 Thread Keizer_71

thank you.



Chuck Cleland wrote:
 
 On 2/24/2008 4:02 PM, Keizer_71 wrote:
 Hi Everyone,
 
 I am trying to use lmFit function; however, i cannot find it function
 anywhere.
 
 I have been trying to find the function in Bioconductor and elsewhere. I
 re-install bioconductor source, update package and update R as well. no
 luck
 
 Is there a command in R where i can just type, and it will download it
 for
 me?
 
RSiteSearch(lmFit) shows there is a function with that name in the 
 limma package.
 
 -- 
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 New York, NY 10010
 tel: (212) 845-4495 (Tu, Th)
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[R] Newbie: Where is lmFit function?

2008-02-24 Thread Keizer_71

Hi Everyone,

I am trying to use lmFit function; however, i cannot find it function
anywhere.

I have been trying to find the function in Bioconductor and elsewhere. I
re-install bioconductor source, update package and update R as well. no luck

Is there a command in R where i can just type, and it will download it for
me?
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[R] Newbie: Measuring distance between clusters.

2008-02-23 Thread Keizer_71

Hi,

I had 1 genes, and I clustered them using K-means clustering in R.

kc-kmeans(data.sub,7)

kc
n cluster sum of squares by cluster:
[1]  60631.76 135886.19 159049.71 101783.27  90040.72 183335.60 158867.81

Available components:
[1] cluster  centers  withinss size

I am very new to R. How do i measure the distance between those cluster?

I tried

I am trying to do a complete linkage

z-hclust(kc,method=complete)

Error in if (n  2) stop(must have n = 2 objects to cluster) : 
argument is of length zero

thanks.

  
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[R] Calculating the Distance

2008-02-20 Thread Keizer_71

***creating matrix and calculating variance across probesets

x-1:2

y-2:141

data.matrix-data.matrix(data[,y])

variableprobe-apply(data.matrix[x,],1,var)

hist(variableprobe)

**filter out low variance*

data.sub = data.matrix[order(variableprobe,decreasing=TRUE),][1:1,]

dim(data.sub)

[1] 1   140

summary(data.sub)

a few samples:

  Sample_68_C  Sample_69_D  Sample_69_C  Sample_70_D 
Sample_70_C
 Min.   : 1.873   Min.   : 1.893   Min.   : 1.873   Min.   : 1.722   Min.  
: 1.871  
 1st Qu.: 5.202   1st Qu.: 5.176   1st Qu.: 4.176   1st Qu.: 4.763   1st
Qu.: 5.366  
 Median : 6.559   Median : 6.502   Median : 5.579   Median : 6.208   Median
: 6.622  
 Mean   : 6.473   Mean   : 6.445   Mean   : 5.697   Mean   : 6.189   Mean  
: 6.558  
 3rd Qu.: 7.738   3rd Qu.: 7.742   3rd Qu.: 6.967   3rd Qu.: 7.547   3rd
Qu.: 7.813  
 Max.   :14.953   Max.   :14.863   Max.   :14.741   Max.   :15.102   Max.  
:14.975  

What is the best way to give me me probes only. I am trying to tell R to
show me all the probes (10,000).

What i want to do is to use the dist function to compute distances between
the samples above. This function will take the matrix and computes the
distances between the rows of the matrix.

I tried dis - dist(t(exprs(data.sub)), method=euclidean) but it is
measuring the point by point which is too big. I would like to measure the
distances between the rows.

thanks!!!






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[R] Calculating Distance Metrics using Euclidean

2008-02-19 Thread Keizer_71

I am trying to calculate the distance metrics, but i keep getting this error.
I am very new to R. Am i doing something wrong.  


 dim(data.sub) 
[1] 1   140 

 dist(data.sub, method = euclidean, diag = FALSE, upper = FALSE, p = 2) 
Error: cannot allocate vector of size 781250 Kb 
In addition: Warning messages: 
1: Reached total allocation of 1014Mb: see help(memory.size) 
2: Reached total allocation of 1014Mb: see help(memory.size)
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[R] Calculating the distance samples using distance metics method

2008-02-19 Thread Keizer_71

***reading in data**

data-read.table(microarray.txt,header=T, sep=\t)

head(data)

dim(data)

attach(data)

***creating matrix and calculating variance across probesets


x-1:2

y-2:141

data.matrix-data.matrix(data[,y])

variableprobe-apply(data.matrix[x,],1,var)

hist(variableprobe)

**filter out low variance*

data.sub = data.matrix[order(variableprobe,decreasing=TRUE),][1:1,]

dim(data.sub)
[1] 1   140

What is the best way to calculate the distances between the samples using
the euclidean or manhattan distance metrics?


any suggestions?
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