so i am having this question
what should i do if the give data file (.txt) has 4 columns, but different
lengths?
how can i read them in R?
any idea for the following problem?
Gas consumption (1000 cubic feet) was measured before and after insulation
was put into
a house. We are interested in looking at the effect of insulation on gas
consumption. The
average outside temperature (degrees celcius) was also measured. The data
are included in
the file "insulation.txt".
(a) Determine if insulation in the house effects the average gas
consumption.
(b) How much extra gas is used when there is no insulation? Provide an
interval estimate
as well as a point estimate.
heres the content in "insulation.txt" (u can just copy and paste it
to the
notepad so can be read in R)
Before insul After insul.
temp gas temp gas
-0.8 7.2 -0.7 4.8
-0.7 6.9 0.8 4.6
0.4 6.4 1.0 4.7
2.5 6.0 1.4 4.0
2.9 5.8 1.5 4.2
3.2 5.8 1.6 4.2
3.6 5.6 2.3 4.1
3.9 4.7 2.5 4.0
4.2 5.8 2.5 3.5
4.3 5.2 3.1 3.2
5.4 4.9 3.9 3.9
6.0 4.9 4.0 3.5
6.0 4.3 4.0 3.7
6.0 4.4 4.2 3.5
6.2 4.5 4.3 3.5
6.3 4.6 4.6 3.7
6.9 3.7 4.7 3.5
7.0 3.9 4.9 3.4
7.4 4.2 4.9 3.7
7.5 4.0 4.9 4.0
7.5 3.9 5.0 3.6
7.6 3.5 5.3 3.7
8.0 4.0 6.2 2.8
8.5 3.6 7.1 3.0
9.1 3.1 7.2 2.8
10.2 2.6 7.5 2.6
8.0 2.7
8.7 2.8
8.8 1.3
9.7 1.5
thx and any ideas would help.
--
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If the input file has a separator other than a space (e.g., tabs or commas) then you can read it is and the missing data will be NAs and you can decide how to handle it. If it does not have a separator, then maybe you can read it in with read.fwf. Otherwise when you read it in, you can tell the system to 'fill' the missing data, but you don't really know what columns that might be in. So you have some choices; you are able to read in data that may have different lengths in the columns, but if it is ill-structured, it may be difficult to determine how to handle the missing data. On Sat, Mar 21, 2009 at 8:13 PM, UBC <cheong0618 at hotmail.com> wrote:> > so i am having this question > what should i do if the give data file (.txt) has 4 columns, but different > lengths? > how can i read them in R? > any idea for the following problem? > > > Gas consumption (1000 cubic feet) was measured before and after insulation > was put into > a house. We are interested in looking at the effect of insulation on gas > consumption. The > average outside temperature (degrees celcius) was also measured. The data > are included in > the file "insulation.txt". > > (a) Determine if insulation in the house effects the average gas > consumption. > (b) How much extra gas is used when there is no insulation? Provide an > interval estimate > as well as a point estimate. > > heres the content in "insulation.txt" ?(u can just copy and paste it to the > notepad so can be read in R) > > Before insul ? ?After insul. > temp ? ?gas ? ? temp ? ?gas > -0.8 ? ?7.2 ? ?-0.7 ? ?4.8 > -0.7 ? ?6.9 ? ?0.8 ? ?4.6 > 0.4 ? ?6.4 ? ?1.0 ? ?4.7 > 2.5 ? ?6.0 ? ?1.4 ? ?4.0 > 2.9 ? ?5.8 ? ?1.5 ? ?4.2 > 3.2 ? ?5.8 ? ?1.6 ? ?4.2 > 3.6 ? ?5.6 ? ?2.3 ? ?4.1 > 3.9 ? ?4.7 ? ?2.5 ? ?4.0 > 4.2 ? ?5.8 ? ?2.5 ? ?3.5 > 4.3 ? ?5.2 ? ?3.1 ? ?3.2 > 5.4 ? ?4.9 ? ?3.9 ? ?3.9 > 6.0 ? ?4.9 ? ?4.0 ? ?3.5 > 6.0 ? ?4.3 ? ?4.0 ? ?3.7 > 6.0 ? ?4.4 ? ?4.2 ? ?3.5 > 6.2 ? ?4.5 ? ?4.3 ? ?3.5 > 6.3 ? ?4.6 ? ?4.6 ? ?3.7 > 6.9 ? ?3.7 ? ?4.7 ? ?3.5 > 7.0 ? ?3.9 ? ?4.9 ? ?3.4 > 7.4 ? ?4.2 ? ?4.9 ? ?3.7 > 7.5 ? ?4.0 ? ?4.9 ? ?4.0 > 7.5 ? ?3.9 ? ?5.0 ? ?3.6 > 7.6 ? ?3.5 ? ?5.3 ? ?3.7 > 8.0 ? ?4.0 ? ?6.2 ? ?2.8 > 8.5 ? ?3.6 ? ?7.1 ? ?3.0 > 9.1 ? ?3.1 ? ?7.2 ? ?2.8 > 10.2 ?2.6 ? ?7.5 ? ?2.6 > ? ? ? ? ? ? ? ?8.0 ? ?2.7 > ? ? ? ? ? ? ? ?8.7 ? ?2.8 > ? ? ? ? ? ? ? ?8.8 ? ?1.3 > ? ? ? ? ? ? ? ?9.7 ? ?1.5 > > > > thx and any ideas would help. > -- > View this message in context: http://www.nabble.com/data-analysis.-R-tp22641912p22641912.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > 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. >-- Jim Holtman Cincinnati, OH +1 513 646 9390 What is the problem that you are trying to solve?
This works with the example. If the real data is different it may not
work. To run the example below just copy and paste it into R.
To run with the real data replace textConnection(Lines) with
"insulation.txt" everywhere.
Lines <- "Before insul After insul.
temp gas temp gas
-0.8 7.2 -0.7 4.8
-0.7 6.9 0.8 4.6
0.4 6.4 1.0 4.7
2.5 6.0 1.4 4.0
2.9 5.8 1.5 4.2
3.2 5.8 1.6 4.2
3.6 5.6 2.3 4.1
3.9 4.7 2.5 4.0
4.2 5.8 2.5 3.5
4.3 5.2 3.1 3.2
5.4 4.9 3.9 3.9
6.0 4.9 4.0 3.5
6.0 4.3 4.0 3.7
6.0 4.4 4.2 3.5
6.2 4.5 4.3 3.5
6.3 4.6 4.6 3.7
6.9 3.7 4.7 3.5
7.0 3.9 4.9 3.4
7.4 4.2 4.9 3.7
7.5 4.0 4.9 4.0
7.5 3.9 5.0 3.6
7.6 3.5 5.3 3.7
8.0 4.0 6.2 2.8
8.5 3.6 7.1 3.0
9.1 3.1 7.2 2.8
10.2 2.6 7.5 2.6
8.0 2.7
8.7 2.8
8.8 1.3
9.7 1.5"
nfld <- count.fields(textConnection(Lines))
data.lines <- readLines(textConnection(Lines))
data.lines <- ifelse(nfld == 2, paste("NA NA", data.lines),
data.lines)
my.data <- read.table(textConnection(data.lines), header = TRUE, skip = 1)
On Sat, Mar 21, 2009 at 8:13 PM, UBC <cheong0618 at hotmail.com>
wrote:>
> so i am having this question
> what should i do if the give data file (.txt) has 4 columns, but different
> lengths?
> how can i read them in R?
> any idea for the following problem?
>
>
> Gas consumption (1000 cubic feet) was measured before and after insulation
> was put into
> a house. We are interested in looking at the effect of insulation on gas
> consumption. The
> average outside temperature (degrees celcius) was also measured. The data
> are included in
> the file "insulation.txt".
>
> (a) Determine if insulation in the house effects the average gas
> consumption.
> (b) How much extra gas is used when there is no insulation? Provide an
> interval estimate
> as well as a point estimate.
>
> heres the content in "insulation.txt" ?(u can just copy and paste
it to the
> notepad so can be read in R)
>
> Before insul ? ?After insul.
> temp ? ?gas ? ? temp ? ?gas
> -0.8 ? ?7.2 ? ?-0.7 ? ?4.8
> -0.7 ? ?6.9 ? ?0.8 ? ?4.6
> 0.4 ? ?6.4 ? ?1.0 ? ?4.7
> 2.5 ? ?6.0 ? ?1.4 ? ?4.0
> 2.9 ? ?5.8 ? ?1.5 ? ?4.2
> 3.2 ? ?5.8 ? ?1.6 ? ?4.2
> 3.6 ? ?5.6 ? ?2.3 ? ?4.1
> 3.9 ? ?4.7 ? ?2.5 ? ?4.0
> 4.2 ? ?5.8 ? ?2.5 ? ?3.5
> 4.3 ? ?5.2 ? ?3.1 ? ?3.2
> 5.4 ? ?4.9 ? ?3.9 ? ?3.9
> 6.0 ? ?4.9 ? ?4.0 ? ?3.5
> 6.0 ? ?4.3 ? ?4.0 ? ?3.7
> 6.0 ? ?4.4 ? ?4.2 ? ?3.5
> 6.2 ? ?4.5 ? ?4.3 ? ?3.5
> 6.3 ? ?4.6 ? ?4.6 ? ?3.7
> 6.9 ? ?3.7 ? ?4.7 ? ?3.5
> 7.0 ? ?3.9 ? ?4.9 ? ?3.4
> 7.4 ? ?4.2 ? ?4.9 ? ?3.7
> 7.5 ? ?4.0 ? ?4.9 ? ?4.0
> 7.5 ? ?3.9 ? ?5.0 ? ?3.6
> 7.6 ? ?3.5 ? ?5.3 ? ?3.7
> 8.0 ? ?4.0 ? ?6.2 ? ?2.8
> 8.5 ? ?3.6 ? ?7.1 ? ?3.0
> 9.1 ? ?3.1 ? ?7.2 ? ?2.8
> 10.2 ?2.6 ? ?7.5 ? ?2.6
> ? ? ? ? ? ? ? ?8.0 ? ?2.7
> ? ? ? ? ? ? ? ?8.7 ? ?2.8
> ? ? ? ? ? ? ? ?8.8 ? ?1.3
> ? ? ? ? ? ? ? ?9.7 ? ?1.5
>
>
>
> thx and any ideas would help.
> --
> View this message in context:
http://www.nabble.com/data-analysis.-R-tp22641912p22641912.html
> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
> 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.
>
On Sat, Mar 21, 2009 at 5:13 PM, UBC <cheong0618 at hotmail.com> wrote:> > so i am having this question > what should i do if the give data file (.txt) has 4 columns, but different > lengths? > how can i read them in R? > any idea for the following problem? > > > Gas consumption (1000 cubic feet) was measured before and after insulation > was put into > a house. We are interested in looking at the effect of insulation on gas > consumption. The > average outside temperature (degrees celcius) was also measured. The data > are included in > the file "insulation.txt". > > (a) Determine if insulation in the house effects the average gas > consumption. > (b) How much extra gas is used when there is no insulation? Provide an > interval estimate > as well as a point estimate. > > heres the content in "insulation.txt" ?(u can just copy and paste it to the > notepad so can be read in R) > > Before insul ? ?After insul. > temp ? ?gas ? ? temp ? ?gas > -0.8 ? ?7.2 ? ?-0.7 ? ?4.8 > -0.7 ? ?6.9 ? ?0.8 ? ?4.6 > 0.4 ? ?6.4 ? ?1.0 ? ?4.7 > 2.5 ? ?6.0 ? ?1.4 ? ?4.0 > 2.9 ? ?5.8 ? ?1.5 ? ?4.2 > 3.2 ? ?5.8 ? ?1.6 ? ?4.2 > 3.6 ? ?5.6 ? ?2.3 ? ?4.1 > 3.9 ? ?4.7 ? ?2.5 ? ?4.0 > 4.2 ? ?5.8 ? ?2.5 ? ?3.5 > 4.3 ? ?5.2 ? ?3.1 ? ?3.2 > 5.4 ? ?4.9 ? ?3.9 ? ?3.9 > 6.0 ? ?4.9 ? ?4.0 ? ?3.5 > 6.0 ? ?4.3 ? ?4.0 ? ?3.7 > 6.0 ? ?4.4 ? ?4.2 ? ?3.5 > 6.2 ? ?4.5 ? ?4.3 ? ?3.5 > 6.3 ? ?4.6 ? ?4.6 ? ?3.7 > 6.9 ? ?3.7 ? ?4.7 ? ?3.5 > 7.0 ? ?3.9 ? ?4.9 ? ?3.4 > 7.4 ? ?4.2 ? ?4.9 ? ?3.7 > 7.5 ? ?4.0 ? ?4.9 ? ?4.0 > 7.5 ? ?3.9 ? ?5.0 ? ?3.6 > 7.6 ? ?3.5 ? ?5.3 ? ?3.7 > 8.0 ? ?4.0 ? ?6.2 ? ?2.8 > 8.5 ? ?3.6 ? ?7.1 ? ?3.0 > 9.1 ? ?3.1 ? ?7.2 ? ?2.8 > 10.2 ?2.6 ? ?7.5 ? ?2.6 > ? ? ? ? ? ? ? ?8.0 ? ?2.7 > ? ? ? ? ? ? ? ?8.7 ? ?2.8 > ? ? ? ? ? ? ? ?8.8 ? ?1.3 > ? ? ? ? ? ? ? ?9.7 ? ?1.5 > > > > thx and any ideas would help.Dude- really? This is just a funky-format version of the whiteside data found in the MASS package: library(MASS) whiteside See the posting guide (http://www.r-project.org/posting-guide.html), especially the section on homework questions.