Re: [R] data analysis. R
thx for ur fast responds. but sorry for asking stupid, i am a turn beginner of R (just trying it out 3 months, and i am taking my first course about it) so, to tackle this questions, i was told to use nested design method, could you actually show me how would u attempt this problem? (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. i just got confused by the backgroud information. We are interested in looking at the effect of insulation on gas consumption. The average outside temperature (degrees celcius) was also measured. so how should my model looks like? i dont even know what should be my explanatory/response variables... thx in advance Gabor Grothendieck wrote: 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 insulAfter insul. tempgas tempgas -0.87.2-0.74.8 -0.76.90.84.6 0.46.41.04.7 2.56.01.44.0 2.95.81.54.2 3.25.81.64.2 3.65.62.34.1 3.94.72.54.0 4.25.82.53.5 4.35.23.13.2 5.44.93.93.9 6.04.94.03.5 6.04.34.03.7 6.04.44.23.5 6.24.54.33.5 6.34.64.63.7 6.93.74.73.5 7.03.94.93.4 7.44.24.93.7 7.54.04.94.0 7.53.95.03.6 7.63.55.33.7 8.04.06.22.8 8.53.67.13.0 9.13.17.22.8 10.2 2.67.52.6 8.02.7 8.72.8 8.81.3 9.71.5 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 cheong0...@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@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-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. -- View this message in context: http://www.nabble.com/data-analysis.-R-tp22641912p22643290.html Sent from the R help mailing list archive at Nabble.com. __ 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
[R] data analysis. R
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 insulAfter insul. tempgas tempgas -0.87.2-0.74.8 -0.76.90.84.6 0.46.41.04.7 2.56.01.44.0 2.95.81.54.2 3.25.81.64.2 3.65.62.34.1 3.94.72.54.0 4.25.82.53.5 4.35.23.13.2 5.44.93.93.9 6.04.94.03.5 6.04.34.03.7 6.04.44.23.5 6.24.54.33.5 6.34.64.63.7 6.93.74.73.5 7.03.94.93.4 7.44.24.93.7 7.54.04.94.0 7.53.95.03.6 7.63.55.33.7 8.04.06.22.8 8.53.67.13.0 9.13.17.22.8 10.2 2.67.52.6 8.02.7 8.72.8 8.81.3 9.71.5 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@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.
Re: [R] data analysis. R
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 cheong0...@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@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? __ 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.
Re: [R] data analysis. R
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 insulAfter insul. tempgas tempgas -0.87.2-0.74.8 -0.76.90.84.6 0.46.41.04.7 2.56.01.44.0 2.95.81.54.2 3.25.81.64.2 3.65.62.34.1 3.94.72.54.0 4.25.82.53.5 4.35.23.13.2 5.44.93.93.9 6.04.94.03.5 6.04.34.03.7 6.04.44.23.5 6.24.54.33.5 6.34.64.63.7 6.93.74.73.5 7.03.94.93.4 7.44.24.93.7 7.54.04.94.0 7.53.95.03.6 7.63.55.33.7 8.04.06.22.8 8.53.67.13.0 9.13.17.22.8 10.2 2.67.52.6 8.02.7 8.72.8 8.81.3 9.71.5 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 cheong0...@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@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-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.
Re: [R] data analysis. R
On Sat, Mar 21, 2009 at 5:13 PM, UBC cheong0...@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. __ 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.
