similar to: Conditional operations in R

I am trying to replicate the SAS proc univariate in R. I got most of the stats I needed for a by grouping in a data frame using: all1 <- ddply(all,"ACT_NAME", summarise, mean=mean(COUNTS), sd=sd(COUNTS), q25=quantile(COUNTS,.25),median=quantile(COUNTS,.50), q75=quantile(COUNTS,.75), q90=quantile(COUNTS,.90), q95=quantile(COUNTS,.95), q99=quantile(COUNTS,.99) )

Hello, I have a column called max_date in my data frame and I only want to keep the bigger values for the same activity. How can I do that? data frame: activity max_dt A 2013-03-05 B 2013-03-28 A 2013-03-28 C 2013-03-28 B 2013-03-01 Thank you for your help -- View this message in context:

Hello, I was wandering if it is possible to perform on a dataframe called 'all' a shapiro wilk normality test for COUNTS by variable Group ACTIVITY? Could it be done using plyer? I saw an eg that applies to an array but not to a dataframe: lapply(split(dataset1$Height,dataset1$Group),shapiro.test) Any thoughts would be much appreciated. My dataframe is in shape: dat ACTIVIT

Hello, I have a variable in a data frame that contains NA values. I just want to subset so that I get the obs where that variable is missing. In SAS I would do: data missing; set test; if myvalue=' '; run; How can I perform this simple task in R? Thanks in advance for your help. -- View this message in context:

Hello, I am trying to re-code all my programs from SAS into R. In SAS I use the following code: proc sort data=upper; by tdate stock_symbol expire strike; run; data upper1; set upper; by tdate stock_symbol expire strike; if first.expire then output; rename strike=astrike; run; on the following data set: tdate stock_symbol expiration strike 9/11/2012 C 9/16/2012

Hello, I have a dataframe w/ 3 variables of interest: transaction,date(tdate) & time(event_tim). How could I create a 4th variable (last_trans) that would flag the last transaction of the day for each day? In SAS I use: proc sort data=all6; by tdate event_tim; run; /*Create last transaction flag per day*/ data all6; set all6; by tdate event_tim; last_trans=last.tdate; Thanks

I get following error message: trying URL 'http://cran.stat.ucla.edu/bin/windows/contrib/2.15/xlsx_0.4.2.zip' Content type 'application/zip' length 365611 bytes (357 Kb) opened URL downloaded 357 Kb Error in read.dcf(file.path(pkgname, "DESCRIPTION"), c("Package", "Type")) : cannot open the connection In addition: Warning messages: 1: In

1)I am wandering how the following SQL statement can be written in R language w/o using sqldf: create table detail2 as select a.* from detail a, pdetail b where a.TDATE=b.TDATE and (a.STIM >= b.STIM and a.STIM <=b.MAXTIM) 2) when try if then in R it only applies to the 1st row & not to whole dataset like in SAS. How do you get round that? in SAS: data summary; set all1;

Hello, I know how to increment a date by calendar date: ticker$ldate <- ticker$tdate + days(5) How do I increment it by business days only so that week-ends are not counted? So for example friday november 2 + 5days becomes friday november 9 & not wednesday nov 7. Thanks for your help. -- View this message in context:

I am new to R and I have the following SAS statements: if otype='M' and ocond='1' and entry='a.Prop' then MOC=1; else MOC=0; How would I translate that into R code? Thanks in advance -- View this message in context: http://r.789695.n4.nabble.com/if-then-in-R-versus-SAS-tp4641225.html Sent from the R help mailing list archive at Nabble.com.

Hello, We lost our SAS licence & I am busy transfering my old SAS programs to R environment. I am very new to R. In 1 program I was creating SAS macro vars & passing them into a SQL query to run against the server. There are 3 variables firm, begindt, enddt. # of values for each varies month to month. Is there anyway I could do the same thing in R & pass the afore mentioned values

Hello all, I have a question: I am using the interquantile method to spot outliers & it gives me values of say 234 & -120 or for the higher & lower benchmarks. I don't have any issues w/ the higher end. However I don't have any negative values. My lowest possible value is 0. Should I consider 0 as an outlier? Thanks ahead for your thoughts -- View this message in

I am trying to concatenate 2 datasets that don't have exactly the same column. In SAS I did: data summary; set agency prop; run; No problem in R I get error message summary <-rbind(agency,prop) Error in match.names(clabs, names(xi)) : names do not match previous names But when I use rbin.fill, that overwrites the second file w/ first one. Is there a way to replicate the sas process

Hello, I want to use lag on a time variable but I have to take date into consideration ie I don't want days to overlap ie: I don't want my first time of today to match my last time of yeterday. In SAS I would use : data x; set y; by date tim; previous=lag(tim); if first.date then do; previous=.; end; run; How can I do something similar in R? I can't find

Hello, I need to subset my dataframe into 2 parts; in: mm <- subset(agr1, subset=lmpcrd %in% c(11697,149823,7654)) not in: but where do I stick the " !" in the above? I've tried every position. Thanks for your help. -- View this message in context: http://r.789695.n4.nabble.com/Subset-in-not-in-tp4655178.html Sent from the R help mailing list archive at Nabble.com.

I have a dataset w/ 184K obs & 16 variables. In SAS I proc sort nodupkey it in seconds by 11 variables. I tried to do the same thing in R using both the unique & then the !duplicated functions but it just hangs there & I get no output. Does anyone know how to solve this? This is how I tried to do it in R: detail3 <-

Hi. I'm trying to write an application to retrieve financial data (specially bonds data) from FINRA. The web page is served dynamically from an asp.net application: http://cxa.gtm.idmanagedsolutions.com/finra/BondCenter/AdvancedScreener.aspx I'd like to know if it's possible to fill dynamically the web page form from R and, after filling it (with the issuer name), retrieve the web

Hi. I'm trying to write an application to retrieve financial data (specially bonds data) from FINRA. The web page is served dynamically from an asp.net application: http://cxa.gtm.idmanagedsolutions.com/finra/BondCenter/AdvancedScreener.aspx I'd like to know if it's possible to fill dynamically the web page form from R and, after filling it (with the issuer name), retrieve the web

Hi, here's my result for # doveconf -n|grep ssl ssl = yes ssl = required ssl_cert = /etc/exim/ssl/wildcard_cantella_com.crt.chained ssl_cipher_list = ALL:!LOW:!SSLv2:SSLv3:!EXP:!aNULL ssl_key = /etc/exim/ssl/wildcard_cantella_com.key verbose_ssl = yes On 04/20/2017 11:27 AM, B. Reino wrote: > On Thu, 20 Apr 2017, Alvaro Lacerda wrote: > >> These are my dovecot logs. It

Hi, This is my environment: SMTP: Exim 4.89 with Mailscanner 5.0.3 IMAP: Dovecot 2.2.10 At the moment I'm just trying to test out my Dovecot to check if it's listening on port 993. *netstat -tuln:* Shows that my machine is listening on ports 143 and 993. *telnet localhost 993: *This is my issue, I get the following message: # telnet localhost 993 Trying ::1... Connected to