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Hello Avi, while something like d$something <- ... may seem like you're directly modifying the data it does not actually do so. Most R objects try to be immutable, that is, the object may not change after creation. This guarantees that if you have a binding for same object the object won't change sneakily. There is a data structure that is in fact mutable which are environments. For

On 4/6/23 03:49, Steven Yen wrote: > The RStudio list generally does not respond to free version users. I was hoping someone one this (R) list would be kind enough to help me. I don't think that is true. It is perhaps true that you cannot get personalized help from employed staff, but you can certainly submit to the Q&A forum. -- David > > Steven from iPhone > >>

I may be missing something but using the plain old c() combine function seems to work fine: df <- data.frame(left = 1:5, right = 6:10) df.combined <- data.frame(comb = c(df$left, df$right)) df left right 1 1 6 2 2 7 3 3 8 4 4 9 5 5 10 df.combined comb 1 1 2 2 3 3 4 4 5 5 6 6 7 7 8 8 9 9 10 10 -----Original

Hi, I have a table of x rows and y columns. The table is huge and so i'd like to create a subset of the data containing rows where any of the y values are below a threshold, say 1e-4. Is there a simple way of doing this in R? thanks Rich

On 2017-08-22 1:30 PM, Patrick Casimir wrote: > Dear R Fellows, > > > I Have a dataset( data1) with 2 columns of date showing a class of factor. How to convert them to date? Then compare them, keep the greater date only in a new column. Using as.Date to change the class to Date but the data becomes NA. ????? When I specified a format with the second date, I got the desired

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...06144255449%7CUnknown%7CTWFpbGZsb3d8eyJWIjoi > > MC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C > > %7C&sdata=12OGc13jk3Lejmcvx5WH8Bko8JSpRxbtW3mzL3OIjyk%3D&reserved=0 > > PLEASE do read the posting guide > > http://www/ > > .r-project.org%2Fposting-guide.html&data=05%7C02%7Ctebert%40ufl.edu% > > 7C0afd65836d774adc099408dc349f53c7%7C0d4da0f84a314d76ace60a62331e1b8 > > 4%7C0%7C0%7C638443106144262387%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wL > > jAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&s > >...

Hi, You were on the right track using stack(), but you just pass the entire data frame as a single object, not the separate columns: > stack(NamesWide) ? values ? ind 1 ? ?Tom Name1 2 ? Dick Name1 3 ?Larry Name2 4 ?Curly Name2 Note that stack also returns the index (second column of 'ind' values), which tells you which column in the source data frame the stacked values originated

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Dear R Fellows, I Have a dataset( data1) with 2 columns of date showing a class of factor. How to convert them to date? Then compare them, keep the greater date only in a new column. Using as.Date to change the class to Date but the data becomes NA. Much Thanks COL1 COL2 Apr-16 1-Nov-16 May-16 1-Nov-16 Jun-16 1-Nov-16 Jul-16 1-Nov-16 Aug-16 1-Nov-16 Sep-16 1-Nov-16 Oct-16 1-Nov-16

Just to repeat: you have NamesWide<-data.frame(Name1=c("Tom","Dick"),Name2=c("Larry","Curly")) and you want NamesLong<-data.frame(Names=c("Tom","Dick","Larry","Curly")) There must be something I am missing, because NamesLong <- data.frame(Names = c(NamesWide$Name1, NamesWide$Name2)) appears to

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