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...3 2 1 > tabulate(x) [1] 5 2 3 Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Thu, Nov 9, 2017 at 3:44 PM, Allaisone 1 <allaisone1 at hotmail.com<mailto:allaisone1 at hotmail.com>> wrote: Thank you so much for your replay Actually, I tried apply() function but struggled with the part of writing the appropriate function inside it which calculate the frequency of the 3 values. Tabulate () function is a good start but...

|> x <- sample(0:2, 10, replace = TRUE) |> x [1] 1 0 2 1 0 2 2 0 2 1 |> tabulate(x) [1] 3 4 |> table(x) x 0 1 2 3 3 4 B. > On Nov 10, 2017, at 4:32 AM, Allaisone 1 <allaisone1 at hotmail.com> wrote: > > > > Thank you for your effort Bert.., > > > I knew what is the problem now, the values (1,2,3) were only an example. The values I have are 0 , 1, 2 . Tabulate () function seem to ignore calculating the frequency of 0 values and this is my exac...

...3 2 1 > tabulate(x) [1] 5 2 3 Cheers, Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Thu, Nov 9, 2017 at 3:44 PM, Allaisone 1 <allaisone1 at hotmail.com> wrote: > Thank you so much for your replay > > > Actually, I tried apply() function but struggled with the part of writing > the appropriate function inside it which calculate the frequency of the 3 > values. Tabulate () function is a good start but the problem...

...o.ca> wrote: > > |> x <- sample(0:2, 10, replace = TRUE) > |> x > [1] 1 0 2 1 0 2 2 0 2 1 > |> tabulate(x) > [1] 3 4 > |> table(x) > x > 0 1 2 > 3 3 4 > > > > B. > > > >> On Nov 10, 2017, at 4:32 AM, Allaisone 1 <allaisone1 at hotmail.com> wrote: >> >> >> >> Thank you for your effort Bert.., >> >> >> I knew what is the problem now, the values (1,2,3) were only an example. The values I have are 0 , 1, 2 . Tabulate () function seem to ignore calculating the frequency of...

> On Nov 18, 2017, at 1:52 AM, Allaisone 1 <allaisone1 at hotmail.com> wrote: > > Although the loop seems to be formulated correctly I wonder why > it gives me these errors : > > -object 'i' not found > - unexpected '}' in "}" You probably did not copy the entire code offered. But we cannot know since y...

...tify the correct syntax. ________________________________ From: David Winsemius <dwinsemius at comcast.net> Sent: 18 November 2017 20:06:56 To: Allaisone 1 Cc: Boris Steipe; R-help Subject: Re: [R] Complicated analysis for huge databases > On Nov 18, 2017, at 1:52 AM, Allaisone 1 <allaisone1 at hotmail.com> wrote: > > Although the loop seems to be formulated correctly I wonder why > it gives me these errors : > > -object 'i' not found > - unexpected '}' in "}" You probably did not copy the entire code offered. But we cannot know since you...

...is a bit generic since I don't know what the output of maf() looks like in your case, and I don't understand why you use tabulate because I would have assumed that's what maf() does - but that's not for me to worry about :-) B. > On Nov 17, 2017, at 7:15 PM, Allaisone 1 <allaisone1 at hotmail.com> wrote: > > > Thanks Boris , this was very helpful but I'm struggling with the last part. > > 1) I combined the first 2 columns :- > > > library(tidyr) > SingleMealsCode <-unite(MyData, MealsCombinations, c(MealA, MealB), remove=FALSE) > Single...

The correct code is: for (i in 1:length(SeparatedGroupsofmealsCombs)) { ... I had mentioned that this is untested, but the error is so obvious ... B. > On Nov 18, 2017, at 4:40 PM, Allaisone 1 <allaisone1 at hotmail.com> wrote: > > > The loop : > > AllMAFs <- list() > > for (i in length(SeparatedGroupsofmealsCombs) { > AllMAFs[[i]] <- apply( SeparatedGroupsofmealsCombs[[i]], 2, function(x)maf( tabulate( x+1) )) > } > > gives these errors (I tried t...

...________________________ > From: David Winsemius <dwinsemius at comcast.net> > Sent: 18 November 2017 20:06:56 > To: Allaisone 1 > Cc: Boris Steipe; R-help > Subject: Re: [R] Complicated analysis for huge databases > > >> On Nov 18, 2017, at 1:52 AM, Allaisone 1 <allaisone1 at hotmail.com> wrote: >> >> Although the loop seems to be formulated correctly I wonder why >> it gives me these errors : >> >> -object 'i' not found >> - unexpected '}' in "}" > > You probably did not copy the entire code offe...

...______________________ > From: David Winsemius <dwinsemius at comcast.net> > Sent: 18 November 2017 20:06:56 > To: Allaisone 1 > Cc: Boris Steipe; R-help > Subject: Re: [R] Complicated analysis for huge databases > > >> On Nov 18, 2017, at 1:52 AM, Allaisone 1 <allaisone1 at hotmail.com> wrote: >> >> Although the loop seems to be formulated correctly I wonder why >> it gives me these errors : >> >> -object 'i' not found >> - unexpected '}' in "}" > > You probably did not copy the entire code off...

...licated analysis for huge databases Combine columns 1 and 2 into a column with a single ID like "33.55", "44.66" and use split() on these IDs to break up your dataset. Iterate over the list of data frames split() returns. B. > On Nov 17, 2017, at 12:59 PM, Allaisone 1 <allaisone1 at hotmail.com> wrote: > > > Hi all .., > > > I have a large dataset of around 600,000 rows and 600 columns. The first col is codes for Meal A, the second columns is codes for Meal B. The third column is customers IDs where each customer had a combination of meals. Each column...

...s a bit generic since I don't know what the output of maf() looks like in your case, and I don't understand why you use tabulate because I would have assumed that's what maf() does - but that's not for me to worry about :-) B. > On Nov 17, 2017, at 7:15 PM, Allaisone 1 <allaisone1 at hotmail.com> wrote: > > > Thanks Boris , this was very helpful but I'm struggling with the last part. > > 1) I combined the first 2 columns :- > > > library(tidyr) > SingleMealsCode <-unite(MyData, MealsCombinations, c(MealA, MealB), remove=FALSE) >...

Combine columns 1 and 2 into a column with a single ID like "33.55", "44.66" and use split() on these IDs to break up your dataset. Iterate over the list of data frames split() returns. B. > On Nov 17, 2017, at 12:59 PM, Allaisone 1 <allaisone1 at hotmail.com> wrote: > > > Hi all .., > > > I have a large dataset of around 600,000 rows and 600 columns. The first col is codes for Meal A, the second columns is codes for Meal B. The third column is customers IDs where each customer had a combination of meals. Each col...

Hi All I have a datafram which looks like this : CustomerID DietType 1 a 1 c 1 b 2 f 2 a 3 j 4 c 4 c 4 f And I would like to reshape this so I can

> On Apr 17, 2018, at 10:10 AM, Allaisone 1 <allaisone1 at hotmail.com> wrote: > > > Hi all > > I have a list of multiple datframes with the same column headers. The last column in each datframe contains a vector of "Interval" class after I have produced this column using "lubridate" package. I needed to convert...

...stiging in Brussel naar het Herman Teirlinckgebouw op de site Thurn & Taxis. Vanaf dan ben je welkom op het nieuwe adres: Havenlaan 88 bus 73, 1000 Brussel. /////////////////////////////////////////////////////////////////////////////////////////// 2017-11-24 12:09 GMT+01:00 Allaisone 1 <allaisone1 at hotmail.com>: > > Hi all , > > > I have a dataframe of 200 columns and 2 rows. The first row in each column contains the frequency of cases in group I . The second row in each column contains the frequency of cases in group II. The frequency of trails is a fixed value for grou...

Hi all .., I have a large dataset of around 600,000 rows and 600 columns. The first col is codes for Meal A, the second columns is codes for Meal B. The third column is customers IDs where each customer had a combination of meals. Each column of the rest columns contains values 0,1,or 2. The dataset is organised in a way so that the first group of customers had similar meals combinations, this

...tomerID DietType_1 DietType_2 DietType_3 1 1 a c b 2 2 f a <NA> 3 3 j <NA> <NA> 4 4 c c f Jim On Sun, Feb 25, 2018 at 11:59 PM, Allaisone 1 <allaisone1 at hotmail.com> wrote: > Hi All > > I have a datafram which looks like this : > > CustomerID DietType > 1 a > 1 c > 1 b > 2 f > 2...

> On Apr 15, 2018, at 4:08 AM, Allaisone 1 <Allaisone1 at hotmail.com> wrote: > > > Hi all .., > > > I have a list of 7000 dataframes with similar column headers and I wanted to add a new column to each dataframe based on a certain condition which is the same for all dataframes. > > > When I extract one dataframe and...

Hi all I have a list of multiple datframes with the same column headers. The last column in each datframe contains a vector of "Interval" class after I have produced this column using "lubridate" package. I needed to convert my list of dataframes to be in a single dataframe for further analysis. I did this using the following syntax : SingleDataframe <- ldply