Hello experts, I am sorry that my subject line is confusing, because I am confused as nuts. Let me take a shot at explaining what I am trying to do. I have a data set of log GDP, education, democracy index, and a whole bunch of variables for every country from 1950 to 2000. Each country accounts for 10 observations with each observation representing the mean GDP for each 5 year interval. Example: Country log GDP yr Canada 9.115211 1950 Canada 9.205848 1955 Canada 9.247975 1960 Canada 9.429002 1965 Canada 9.554069 1970 Canada 9.719351 1975 Canada 9.851376 1980 Canada 9.937892 1985 Canada 10.01457 1990 Canada 10.04093 1995 Canada 10.20005 2000 USA 9.27824 1950 USA 9.38968 1955 USA 9.415136 1960 USA 9.594625 1965 USA 9.70207 1970 USA 9.800418 1975 USA 9.96813 1980 USA 10.07001 1985 USA 10.18331 1990 USA 10.25446 1995 USA 10.4131 2000 For log GDP: I want to create a new object in R with one line for each country and the average log GDP from the 10 5yr interval observations. With the subset I want to then create a table with 3 columns and 4 rows. (I have no idea how to write the codes to create the new object. Friend said something about conditional median.) Columns 1) All countries 2) High income countries 3) Low income countries Rows 1) Democracy index 2) Log GDP 3) Obs 4) Countries To create a high and low income columns, I am using the median as the boundary. (i.e. high income for gdp > median of the mean for each country, low income for gdp <= median of the mean for each country.) I hope someone can understand what I am writing here and help me out with it. Thanks so much! -- View this message in context: http://r.789695.n4.nabble.com/keep-average-values-and-delete-duplicate-rows-tp4647677.html Sent from the R help mailing list archive at Nabble.com.
HI, I guess it is a bit confusing as to what you want.? In the example dataset, there was no democracy_index, but in the result you want it.? Regarding the median calculation, I guess you want to calculate the median for each country.? I created one more country (China) with fake data.? May be this helps: dat1<-read.table(text=" Country? log_GDP yr Canada 9.115211 1950 Canada 9.205848 1955 Canada 9.247975 1960 Canada 9.429002 1965 Canada 9.554069 1970 Canada 9.719351 1975 Canada 9.851376 1980 Canada 9.937892 1985 Canada 10.01457 1990 Canada 10.04093 1995 Canada 10.20005 2000 USA?????? 9.27824??? 1950 USA?????? 9.38968??? 1955 USA?????? 9.415136? 1960 USA?????? 9.594625? 1965 USA?????? 9.70207??? 1970 USA?????? 9.800418? 1975 USA?????? 9.96813??? 1980 USA?????? 10.07001? 1985 USA?????? 10.18331? 1990 USA?????? 10.25446? 1995 USA?????? 10.4131??? 2000 China????? 7.5?????? 1950 China????? 7.32????? 1955 China?????? 7.33? 1960 China?????? 7.6? 1965 China?????? 7.8??? 1970 China?????? 8.0?? 1975 China?????? 8.2??? 1980 China?????? 8.3? 1985 China?????? 8.5? 1990 China?????? 8.6? 1995 China?????? 8.7??? 2000?? ",sep="",header=TRUE,stringsAsFactors=FALSE) ?dat2<-with(dat1,aggregate(log_GDP,by=list(Country=Country),mean)) colnames(dat2)[2]<-"Mean" ?dat3<-with(dat1,aggregate(log_GDP,by=list(Country=Country),median)) colnames(dat3)[2]<-"Median" dat4<-merge(dat3,dat2) dat4$HighIncome<-ifelse(dat4$Mean>dat4$Median,dat4$Country[dat4$Mean>dat4$Median],NA) ?dat4$LowIncome<-ifelse(dat4$Mean>dat4$Median,NA,dat4$Country[!dat4$Mean>dat4$Median]) dat5<-dat4[,-2] dat5 #? Country???? Mean HighIncome LowIncome #1? Canada 9.665116?????? <NA>??? Canada #2?? China 7.986364?????? <NA>???? China #3???? USA 9.824471??????? USA????? <NA> res<-merge(dat1,dat5) ?head(res) #? Country? log_GDP?? yr???? Mean HighIncome LowIncome #1? Canada 9.115211 1950 9.665116?????? <NA>??? Canada #2? Canada 9.205848 1955 9.665116?????? <NA>??? Canada #3? Canada 9.247975 1960 9.665116?????? <NA>??? Canada #4? Canada 9.429002 1965 9.665116?????? <NA>??? Canada #5? Canada 9.554069 1970 9.665116?????? <NA>??? Canada #6? Canada 9.719351 1975 9.665116?????? <NA>??? Canada A.K. ----- Original Message ----- From: fuckecon <iamstanhu at gmail.com> To: r-help at r-project.org Cc: Sent: Sunday, October 28, 2012 12:16 AM Subject: [R] keep average values and delete duplicate rows Hello experts, I am sorry that my subject line is confusing, because I am confused as nuts. Let me take a shot at explaining what I am trying to do. I have a data set of log GDP, education, democracy index, and a whole bunch of variables for every country from 1950 to? 2000. Each country accounts for 10 observations with each observation representing the mean GDP for each 5 year interval. Example: Country? log GDP yr Canada??? 9.115211 1950 Canada??? 9.205848 1955 Canada??? 9.247975 1960 Canada??? 9.429002 1965 Canada??? 9.554069 1970 Canada??? 9.719351 1975 Canada??? 9.851376 1980 Canada??? 9.937892 1985 Canada??? 10.01457 1990 Canada??? 10.04093 1995 Canada??? 10.20005 2000 USA? ? ? 9.27824? ? 1950 USA? ? ? 9.38968? ? 1955 USA? ? ? 9.415136? 1960 USA? ? ? 9.594625? 1965 USA? ? ? 9.70207? ? 1970 USA? ? ? 9.800418? 1975 USA? ? ? 9.96813? ? 1980 USA? ? ? 10.07001? 1985 USA? ? ? 10.18331? 1990 USA? ? ? 10.25446? 1995 USA? ? ? 10.4131? ? 2000 For log GDP: I want to create a new object in R with one line for each country and? the average log GDP from the 10 5yr interval observations. With the subset I want to then create a table with 3 columns and 4 rows. (I have no idea how to write the codes to create the new object. Friend said something about conditional median.) Columns 1) All countries 2) High income countries 3) Low income countries Rows 1) Democracy index 2) Log GDP 3) Obs 4) Countries To create a high and low income columns, I am using the median as the boundary. (i.e. high income for gdp > median of the mean for each country, low income for gdp <= median of the mean for each country.) I hope someone can understand what I am writing here and help me out with it. Thanks so much! -- View this message in context: http://r.789695.n4.nabble.com/keep-average-values-and-delete-duplicate-rows-tp4647677.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.
Please read the posting guide... this is not a homework help line.
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Sent from my phone. Please excuse my brevity.
fuckecon <iamstanhu at gmail.com> wrote:
>Hello experts,
>
>I am sorry that my subject line is confusing, because I am confused as
>nuts.
>Let me take a shot at explaining what I am trying to do.
>
>I have a data set of log GDP, education, democracy index, and a whole
>bunch
>of variables for every country from 1950 to 2000. Each country
>accounts for
>10 observations with each observation representing the mean GDP for
>each 5
>year interval.
>
>Example:
>
>Country log GDP yr
>Canada 9.115211 1950
>Canada 9.205848 1955
>Canada 9.247975 1960
>Canada 9.429002 1965
>Canada 9.554069 1970
>Canada 9.719351 1975
>Canada 9.851376 1980
>Canada 9.937892 1985
>Canada 10.01457 1990
>Canada 10.04093 1995
>Canada 10.20005 2000
>USA 9.27824 1950
>USA 9.38968 1955
>USA 9.415136 1960
>USA 9.594625 1965
>USA 9.70207 1970
>USA 9.800418 1975
>USA 9.96813 1980
>USA 10.07001 1985
>USA 10.18331 1990
>USA 10.25446 1995
>USA 10.4131 2000
>
>For log GDP:
>
>I want to create a new object in R with one line for each country and
>the
>average log GDP from the 10 5yr interval observations. With the subset
>I
>want to then create a table with 3 columns and 4 rows.
>
>(I have no idea how to write the codes to create the new object. Friend
>said
>something about conditional median.)
>
>Columns
>1) All countries
>2) High income countries
>3) Low income countries
>
>Rows
>1) Democracy index
>2) Log GDP
>3) Obs
>4) Countries
>
>To create a high and low income columns, I am using the median as the
>boundary. (i.e. high income for gdp > median of the mean for each
>country,
>low income for gdp <= median of the mean for each country.)
>
>I hope someone can understand what I am writing here and help me out
>with
>it.
>
>Thanks so much!
>
>
>
>
>
>--
>View this message in context:
>http://r.789695.n4.nabble.com/keep-average-values-and-delete-duplicate-rows-tp4647677.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.