Hi there
I just want to add 2 to all the values in dataframe.
I tried using sapply but it seem to die all the time.
Any help would be appreciated.
Thanks
Ramya
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is it might have some differing row numbers and just ignoring the
columns itself.
Thanks
Ramya
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trying to make the process of finding the area under the curve automated
so trying to approximate the star and end point by looking at the graph wont
help me.
If there is no function a little background of finding the start and end
points would be helpful.
Thanks
Ramya
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they return me a list of values which when computed from
area turns out to be huge nnumbers. In the dataset I know there are 4 peaks
but i couldnt find through R.
getPeaks method was kind of promising but i am not sure how to use it.
Any help would be appreciated.
Thanks
Ramya
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hi there,
I need to subtract each value in the dataframe from the mean of the column
and divide by the
standard deviation of the column.
> dim(a)
[1] 2201152
data2 <- sapply(seq(from = 2, by = 1, length = 50), function(e){
rbind((a[[e]] - mean(a[,e]))/sd(a[,e]))
})
Does this look right
help.
my data
> SC <- read.delim("/Users/Ramya/d1.txt")
> SC
Response Expected
1 10.06235500.0
2 16.62795250.0
3 28.79325125.0
4 44.03961 62.5
5 60.19685 31.3
6 77.03876 15.6
7 80.17484 7.8
8 82.66292 3.9
> FourP <- drm(Response~Expect
Hi,
I decided to use the drm function for four point fitting and in the all the
examples that i see
spinach.m1 <- drm(SLOPE~DOSE, CURVE, data = spinach, fct = LL.4())
fit1 <- drm(wheeze~p(age>9)+smoking+cluster(id),data=wheeze,dep="B",
print=0)
what are these with '~' mean?
This is my data
Hi,
I have to do a four point logistics for a dataset. All I have is the
absorbance value for different proteins and need to get the four Point
values. I have no idea where to start.
Any suggestions would be much helpful.
Thanks
Ramya
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re what to do. I have the same code doing plots for
otherfiles but just one is not working. what xactly it means missing values
even if there is there how can i tell it to overlook those
any help would be appreciated
Thanks
Ramya
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Thanks. It helped me a lot.
Ramya
On Mon, Jan 31, 2011 at 6:56 AM, djmuseR [via R] <
ml-node+3248651-1296211736-40...@n4.nabble.com
> wrote:
> Hi:
>
> I won't speak for Jim, as he's more than capable of responding to this
> himself, but I'll give it a shot:
Dataframe?
Thanks
Ramya
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R-help@r-project.org mailing list
https
Hi,
I have a Dataframe.
A B C D
0.10.7 0.9 0.8
0.20 0.60 0.80 0.70
0.40 0.80 0.70 0.76
I need a resultant dataframe
(A-B) (C-D)
-0.6 0.1
-0.400.1
-0.40 -0.06
Any suggestion would be of a great help
Thanks
Ramya
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for A in
Green while B in Red and alternated all the way till the end
Data I am working on.
a = read.delim(list.files()[3],header = T)
dim(a)
22011(columns) 52(rows)
boxplot(log(a[,2:52]),main = list.files()[3],col = "red")
This makes all the boxplots as red but i wanted it altered.
Th
0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
[2,] 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0
>
Regards,
Ram
I have tow vectors one is the subset of another
x is a subset of X Both are vectors with n elements
X[X %in% x] would give me x again rite because it is a subset but i want all
those are not in x from X.
X[which(X != x)] should this do that
Thanks
Ramya
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that as a
condition
UV7C11-F9-E1 MCS#9831019
MCS Lot #9512516"
how do i go abt it
Ramya
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Thanks it worked!!! i was trying to use %in% and matching it.
Ramya
On Thu, Dec 3, 2009 at 2:06 PM, Peng Cai [via R] <
ml-node+947950-541874...@n4.nabble.com
> wrote:
> Try this:
>
> both <- merge(left, right, by.x="column1", by.y="column1")
>
Hi there
I have two dataframes
Dataframe_1
column_1colum_2
121 12345
145 1675
167 2765
Dataframe_2
column_1 column2
121abc
345lmn
167efg
I want a resulting dataframe
121 12345abc
167 2765 efg
how do i go abt it
Ramya
hi,
I have a question could please help me.
Geneset.ls <- list()
for(i in 1: 5452)
{
Geneset.ls[[i]] <- read.delim("c.all.v2.5.symbols.gmt", header=T, skip=1,
sep="\t")
}
I have a file named c.all.v2.5.symbols.gmt.it is a huge file with about 30
columns and 5452 rows.
I want to write single r
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