From dmsidhu at gmail.com Tue Apr 3 00:35:18 2018 From: dmsidhu at gmail.com (dsidhu) Date: Mon, 2 Apr 2018 15:35:18 -0700 (MST) Subject: [datatable-help] Is it possible to perform PCA with random effects? Message-ID: <1522708518242-0.post@n4.nabble.com> I have the results of a rating study in which ~30 participants rated a subset of 20 items on 25 different dimensions. I would like to perform PCA on these ratings to reduce the 25 different dimensions. However, instead of doing this on the mean ratings for each item, I would like to perform the PCA at the level of individual ratings. I am assuming that in order to do this I have to specify the fact that ratings are nested within participants and within items (i.e., crossed random effects for subjects and items). Is this possible? -- Sent from: http://r.789695.n4.nabble.com/datatable-help-f2315188.html From stu115300 at mail.uni-kiel.de Tue Apr 3 13:38:52 2018 From: stu115300 at mail.uni-kiel.de (babab) Date: Tue, 3 Apr 2018 04:38:52 -0700 (MST) Subject: [datatable-help] Clustering of second level in multilevel analysis. Message-ID: <1522755532845-0.post@n4.nabble.com> Hello, I am quite new to this forum and my question may be rather easy to answer, but it would be a big help for my work. I have to do a multilevel-Analysis and wanted to cluster the variables on the second level. The problem is, that I am not quite sure, if I really understand what to do there. As help I used following website: http://www.sthda.com/ My second level identifier are: o Leadership construct o Unpublished (Whether it was published or not) o Publicationtype o Meta_N (N of metaanalysis) o Outcome_alpha o Lead_alpha (Leadership alpha) o Country (In which the study was conducted) o Bsetting (Businesssetting, which job area was asked) How to start now ?. I am thinking that I don't really understand the method of clustering at all and I am freaking out a bit, as I have noone at University to ask. If there is any information missing, I'm sorry in advance and I'm more than willing to give additional information as soon as possible for me. -- Sent from: http://r.789695.n4.nabble.com/datatable-help-f2315188.html From anilkp at uw.edu Wed Apr 4 22:59:58 2018 From: anilkp at uw.edu (aniluw) Date: Wed, 4 Apr 2018 13:59:58 -0700 (MST) Subject: [datatable-help] Help with biglm() package Message-ID: <1522875598380-0.post@n4.nabble.com> Due to my interest in data analytics, was working on large volumes of data (Air traffic performance data ? Bureau of Transportation Statistics) over the break. As part of my exercise, I was trying to predict the minutes delayed on departure (one of the outcome variable) from a selected set of variables (to minimize the data chunk and correlation between predictors). I found biglm() function useful to perform this activity using ffdf objects. I was able to build a linear model for training dataset (3,972,233 records) with the biglm() package. However, when I try generate fitted-values, the model returns all NAs. Thinking if the model interpret the outcome as ?categorical? (given the ?response? attr checked in the $terms dimension of the biglm object), than discrete integer values. Also, the predictors CRS_DEP_TIME, CRS_ARR_TIME are integers (rest all the predictors are factors), is it interpreted as ?factors? ? Would really appreciate your response. > biglm.Train.Air.2017.Dep.Delay.mins$terms DEP_DELAY ~ YEAR + MONTH + DAY_OF_MONTH + DAY_OF_WEEK + UNIQUE_CARRIER + ORIGIN + DEST + CRS_DEP_TIME + CRS_ARR_TIME attr(,"variables") list(DEP_DELAY, YEAR, MONTH, DAY_OF_MONTH, DAY_OF_WEEK, UNIQUE_CARRIER, ORIGIN, DEST, CRS_DEP_TIME, CRS_ARR_TIME) attr(,"factors") YEAR MONTH DAY_OF_MONTH DAY_OF_WEEK UNIQUE_CARRIER ORIGIN DEST CRS_DEP_TIME CRS_ARR_TIME DEP_DELAY 0 0 0 0 0 0 0 0 0 YEAR 1 0 0 0 0 0 0 0 0 MONTH 0 1 0 0 0 0 0 0 0 DAY_OF_MONTH 0 0 1 0 0 0 0 0 0 DAY_OF_WEEK 0 0 0 1 0 0 0 0 0 UNIQUE_CARRIER 0 0 0 0 1 0 0 0 0 ORIGIN 0 0 0 0 0 1 0 0 0 DEST 0 0 0 0 0 0 1 0 0 CRS_DEP_TIME 0 0 0 0 0 0 0 1 0 CRS_ARR_TIME 0 0 0 0 0 0 0 0 1 attr(,"term.labels") [1] "YEAR" "MONTH" "DAY_OF_MONTH" "DAY_OF_WEEK" "UNIQUE_CARRIER" "ORIGIN" "DEST" "CRS_DEP_TIME" "CRS_ARR_TIME" attr(,"order") [1] 1 1 1 1 1 1 1 1 1 attr(,"intercept") [1] 1 attr(,"response") [1] 1 attr(,".Environment") > Structure of the Training ffdf dataset > str(Train.Air.OnTime2017.SelectCols.ffdf) List of 3 $ virtual: 'data.frame': 10 obs. of 7 variables: .. $ VirtualVmode : chr "integer" "integer" "integer" "integer" ... .. $ AsIs : logi FALSE FALSE FALSE FALSE FALSE FALSE ... .. $ VirtualIsMatrix : logi FALSE FALSE FALSE FALSE FALSE FALSE ... .. $ PhysicalIsMatrix : logi FALSE FALSE FALSE FALSE FALSE FALSE ... .. $ PhysicalElementNo: int 1 2 3 4 5 6 7 8 9 10 .. $ PhysicalFirstCol : int 1 1 1 1 1 1 1 1 1 1 .. $ PhysicalLastCol : int 1 1 1 1 1 1 1 1 1 1 .. - attr(*, "Dim")= int 3972233 10 .. - attr(*, "Dimorder")= int 1 2 $ physical: List of 10 .. $ YEAR : list() .. ..- attr(*, "physical")=Class 'ff_pointer' .. .. ..- attr(*, "vmode")= chr "integer" .. .. ..- attr(*, "maxlength")= int 3972233 .. .. ..- attr(*, "pattern")= chr "clone" .. .. ..- attr(*, "filename")= chr "C:/Users/ANILKU~1/AppData/Local/Temp/RtmpSKCATB/clone2d3467395e5d.ff" .. .. ..- attr(*, "pagesize")= int 65536 .. .. ..- attr(*, "finalizer")= chr "delete" .. .. ..- attr(*, "finonexit")= logi TRUE .. .. ..- attr(*, "readonly")= logi FALSE .. .. ..- attr(*, "caching")= chr "mmnoflush" .. ..- attr(*, "virtual")= list() .. .. ..- attr(*, "Length")= int 3972233 .. .. ..- attr(*, "Symmetric")= logi FALSE .. .. - attr(*, "class") = chr [1:2] "ff_vector" "ff" .. $ MONTH : list() .. ..- attr(*, "physical")=Class 'ff_pointer' .. .. ..- attr(*, "vmode")= chr "integer" .. .. ..- attr(*, "maxlength")= int 3972233 .. .. ..- attr(*, "pattern")= chr "clone" .. .. ..- attr(*, "filename")= chr "C:/Users/ANILKU~1/AppData/Local/Temp/RtmpSKCATB/clone2d34628a688c.ff" .. .. ..- attr(*, "pagesize")= int 65536 .. .. ..- attr(*, "finalizer")= chr "delete" .. .. ..- attr(*, "finonexit")= logi TRUE .. .. ..- attr(*, "readonly")= logi FALSE .. .. ..- attr(*, "caching")= chr "mmnoflush" .. ..- attr(*, "virtual")= list() .. .. ..- attr(*, "Length")= int 3972233 .. .. ..- attr(*, "Symmetric")= logi FALSE .. .. ..- attr(*, "Levels")= chr [1:12] "January" "February" "March" "April" ... .. .. ..- attr(*, "ramclass")= chr "factor" .. .. - attr(*, "class") = chr [1:2] "ff_vector" "ff" .. $ DAY_OF_MONTH : list() .. ..- attr(*, "physical")=Class 'ff_pointer' .. .. ..- attr(*, "vmode")= chr "integer" .. .. ..- attr(*, "maxlength")= int 3972233 .. .. ..- attr(*, "pattern")= chr "clone" .. .. ..- attr(*, "filename")= chr "C:/Users/ANILKU~1/AppData/Local/Temp/RtmpSKCATB/clone2d34868459e.ff" .. .. ..- attr(*, "pagesize")= int 65536 .. .. ..- attr(*, "finalizer")= chr "delete" .. .. ..- attr(*, "finonexit")= logi TRUE .. .. ..- attr(*, "readonly")= logi FALSE .. .. ..- attr(*, "caching")= chr "mmnoflush" .. ..- attr(*, "virtual")= list() .. .. ..- attr(*, "Length")= int 3972233 .. .. ..- attr(*, "Symmetric")= logi FALSE .. .. ..- attr(*, "Levels")= chr [1:31] "1" "2" "3" "4" ... .. .. ..- attr(*, "ramclass")= chr "factor" .. .. - attr(*, "class") = chr [1:2] "ff_vector" "ff" .. $ DAY_OF_WEEK : list() .. ..- attr(*, "physical")=Class 'ff_pointer' .. .. ..- attr(*, "vmode")= chr "integer" .. .. ..- attr(*, "maxlength")= int 3972233 .. .. ..- attr(*, "pattern")= chr "clone" .. .. ..- attr(*, "filename")= chr "C:/Users/ANILKU~1/AppData/Local/Temp/RtmpSKCATB/clone2d3419f71e6a.ff" .. .. ..- attr(*, "pagesize")= int 65536 .. .. ..- attr(*, "finalizer")= chr "delete" .. .. ..- attr(*, "finonexit")= logi TRUE .. .. ..- attr(*, "readonly")= logi FALSE .. .. ..- attr(*, "caching")= chr "mmnoflush" .. ..- attr(*, "virtual")= list() .. .. ..- attr(*, "Length")= int 3972233 .. .. ..- attr(*, "Symmetric")= logi FALSE .. .. ..- attr(*, "Levels")= chr [1:7] "Mon" "Tue" "Wed" "Thu" ... .. .. ..- attr(*, "ramclass")= chr "factor" .. .. - attr(*, "class") = chr [1:2] "ff_vector" "ff" .. $ UNIQUE_CARRIER: list() .. ..- attr(*, "physical")=Class 'ff_pointer' .. .. ..- attr(*, "vmode")= chr "integer" .. .. ..- attr(*, "maxlength")= int 3972233 .. .. ..- attr(*, "pattern")= chr "clone" .. .. ..- attr(*, "filename")= chr "C:/Users/ANILKU~1/AppData/Local/Temp/RtmpSKCATB/clone2d342b7d2482.ff" .. .. ..- attr(*, "pagesize")= int 65536 .. .. ..- attr(*, "finalizer")= chr "delete" .. .. ..- attr(*, "finonexit")= logi TRUE .. .. ..- attr(*, "readonly")= logi FALSE .. .. ..- attr(*, "caching")= chr "mmnoflush" .. ..- attr(*, "virtual")= list() .. .. ..- attr(*, "Length")= int 3972233 .. .. ..- attr(*, "Symmetric")= logi FALSE .. .. ..- attr(*, "Levels")= chr [1:12] "AA" "AS" "B6" "DL" ... .. .. ..- attr(*, "ramclass")= chr "factor" .. .. - attr(*, "class") = chr [1:2] "ff_vector" "ff" .. $ ORIGIN : list() .. ..- attr(*, "physical")=Class 'ff_pointer' .. .. ..- attr(*, "vmode")= chr "integer" .. .. ..- attr(*, "maxlength")= int 3972233 .. .. ..- attr(*, "pattern")= chr "clone" .. .. ..- attr(*, "filename")= chr "C:/Users/ANILKU~1/AppData/Local/Temp/RtmpSKCATB/clone2d342cf382a.ff" .. .. ..- attr(*, "pagesize")= int 65536 .. .. ..- attr(*, "finalizer")= chr "delete" .. .. ..- attr(*, "finonexit")= logi TRUE .. .. ..- attr(*, "readonly")= logi FALSE .. .. ..- attr(*, "caching")= chr "mmnoflush" .. ..- attr(*, "virtual")= list() .. .. ..- attr(*, "Length")= int 3972233 .. .. ..- attr(*, "Symmetric")= logi FALSE .. .. ..- attr(*, "Levels")= chr [1:320] "ABE" "ABI" "ABQ" "ABR" ... .. .. ..- attr(*, "ramclass")= chr "factor" .. .. - attr(*, "class") = chr [1:2] "ff_vector" "ff" .. $ DEST : list() .. ..- attr(*, "physical")=Class 'ff_pointer' .. .. ..- attr(*, "vmode")= chr "integer" .. .. ..- attr(*, "maxlength")= int 3972233 .. .. ..- attr(*, "pattern")= chr "clone" .. .. ..- attr(*, "filename")= chr "C:/Users/ANILKU~1/AppData/Local/Temp/RtmpSKCATB/clone2d34344c1f1b.ff" .. .. ..- attr(*, "pagesize")= int 65536 .. .. ..- attr(*, "finalizer")= chr "delete" .. .. ..- attr(*, "finonexit")= logi TRUE .. .. ..- attr(*, "readonly")= logi FALSE .. .. ..- attr(*, "caching")= chr "mmnoflush" .. ..- attr(*, "virtual")= list() .. .. ..- attr(*, "Length")= int 3972233 .. .. ..- attr(*, "Symmetric")= logi FALSE .. .. ..- attr(*, "Levels")= chr [1:320] "ABE" "ABI" "ABQ" "ABR" ... .. .. ..- attr(*, "ramclass")= chr "factor" .. .. - attr(*, "class") = chr [1:2] "ff_vector" "ff" .. $ CRS_DEP_TIME : list() .. ..- attr(*, "physical")=Class 'ff_pointer' .. .. ..- attr(*, "vmode")= chr "integer" .. .. ..- attr(*, "maxlength")= int 3972233 .. .. ..- attr(*, "pattern")= chr "clone" .. .. ..- attr(*, "filename")= chr "C:/Users/ANILKU~1/AppData/Local/Temp/RtmpSKCATB/clone2d347efb4a28.ff" .. .. ..- attr(*, "pagesize")= int 65536 .. .. ..- attr(*, "finalizer")= chr "delete" .. .. ..- attr(*, "finonexit")= logi TRUE .. .. ..- attr(*, "readonly")= logi FALSE .. .. ..- attr(*, "caching")= chr "mmnoflush" .. ..- attr(*, "virtual")= list() .. .. ..- attr(*, "Length")= int 3972233 .. .. ..- attr(*, "Symmetric")= logi FALSE .. .. - attr(*, "class") = chr [1:2] "ff_vector" "ff" .. $ CRS_ARR_TIME : list() .. ..- attr(*, "physical")=Class 'ff_pointer' .. .. ..- attr(*, "vmode")= chr "integer" .. .. ..- attr(*, "maxlength")= int 3972233 .. .. ..- attr(*, "pattern")= chr "clone" .. .. ..- attr(*, "filename")= chr "C:/Users/ANILKU~1/AppData/Local/Temp/RtmpSKCATB/clone2d34c6e593e.ff" .. .. ..- attr(*, "pagesize")= int 65536 .. .. ..- attr(*, "finalizer")= chr "delete" .. .. ..- attr(*, "finonexit")= logi TRUE .. .. ..- attr(*, "readonly")= logi FALSE .. .. ..- attr(*, "caching")= chr "mmnoflush" .. ..- attr(*, "virtual")= list() .. .. ..- attr(*, "Length")= int 3972233 .. .. ..- attr(*, "Symmetric")= logi FALSE .. .. - attr(*, "class") = chr [1:2] "ff_vector" "ff" .. $ DEP_DELAY : list() .. ..- attr(*, "physical")=Class 'ff_pointer' .. .. ..- attr(*, "vmode")= chr "integer" .. .. ..- attr(*, "maxlength")= int 3972233 .. .. ..- attr(*, "pattern")= chr "clone" .. .. ..- attr(*, "filename")= chr "C:/Users/ANILKU~1/AppData/Local/Temp/RtmpSKCATB/clone2d3419b6864.ff" .. .. ..- attr(*, "pagesize")= int 65536 .. .. ..- attr(*, "finalizer")= chr "delete" .. .. ..- attr(*, "finonexit")= logi TRUE .. .. ..- attr(*, "readonly")= logi FALSE .. .. ..- attr(*, "caching")= chr "mmnoflush" .. ..- attr(*, "virtual")= list() .. .. ..- attr(*, "Length")= int 3972233 .. .. ..- attr(*, "Symmetric")= logi FALSE .. .. - attr(*, "class") = chr [1:2] "ff_vector" "ff" $ row.names: NULL - attributes: List of 2 .. $ names: chr [1:3] "virtual" "physical" "row.names" .. $ class: chr "ffdf" -- Sent from: http://r.789695.n4.nabble.com/datatable-help-f2315188.html From phamgiatung at huaf.edu.vn Sat Apr 7 13:41:58 2018 From: phamgiatung at huaf.edu.vn (tunghuaf) Date: Sat, 7 Apr 2018 04:41:58 -0700 (MST) Subject: [datatable-help] Need your help about the Script in R for Regression Kriging for 2 auxiliary variables? Message-ID: <1523101318095-0.post@n4.nabble.com> Hello everyone, I am new one try to study about Regression Kriging in R. I need your help about an R script for Regression Kriging in R. I need to interpolate the SOC (Soil Organic Carbon) from 155 points using 2 environmental variables, include Elevation value (DEM raster, I converted to ASCII format and NDVI value (raster, converted to ASCII format). I want to make a formula as SOC = coefficient*E + coefficient*NDVI + intercept. I would like to know: - Among of auxiliary variables, which variable effect to SOC concentration is most? - How can I implement the Regression Kriging for this task in R? Could you please show me a detailed script for R for this case? Thank in Advance. -- Sent from: http://r.789695.n4.nabble.com/datatable-help-f2315188.html From deepaksharma64 at gmail.com Sun Apr 8 07:15:46 2018 From: deepaksharma64 at gmail.com (R_Exp64) Date: Sat, 7 Apr 2018 22:15:46 -0700 (MST) Subject: [datatable-help] Analysis of categorical variables with different levels Message-ID: <1523164546175-0.post@n4.nabble.com> I have been given a dataframe with 50+ fields. My job is to find the fields which are dependent and independent of each other. Most of the fields are categorical variable and have different levels. For example - below table shows different levels for each field Sex:2, Color:4, Geography:3, ID:8. Now, how can I do regression/correlation on them ? Clearly, we see that all Males have Red color and their Geography is North. What analysis I need to do to get these kind of insights? I tried few things but could not figure out the right way. Idea is to develop a system where few of the fields are automatically filled based on the information entered in other fields, like if we enter Sex as Male,Geography is automatically North. Thanks! **Sex** **Color** **Geography** **ID** Male Red North 100 Male Red North 200 Male Red North 300 Male Red North 400 Male Blue North 500 Female Green South 600 Female Green Female East 800 Female Yellow North 900 -- Sent from: http://r.789695.n4.nabble.com/datatable-help-f2315188.html From deepaksharma64 at gmail.com Sun Apr 8 07:34:20 2018 From: deepaksharma64 at gmail.com (R_Exp64) Date: Sat, 7 Apr 2018 22:34:20 -0700 (MST) Subject: [datatable-help] Analysis of categorical variables with different levels Message-ID: <1523165660598-0.post@n4.nabble.com> I have been given a dataframe with 50+ fields. My job is to find the fields which are dependent and independent of each other. Most of the fields are categorical variable and have different levels. For example - below table shows different levels for each field Sex:2, Color:4, Geography:3, ID:8. Now, how can I do regression/correlation on them ? Clearly, we see that all Males have Red color and their Geography is North. What analysis I need to do to get these kind of insights? I tried few things but could not figure out the right way. Idea is to develop a system where few of the fields are automatically filled based on the information entered in other fields, like if we enter Sex as Male,Geography is automatically North. Thanks! -- Sent from: http://r.789695.n4.nabble.com/datatable-help-f2315188.html From artful_dodger74 at yahoo.com Tue Apr 10 17:45:29 2018 From: artful_dodger74 at yahoo.com (a_dodger) Date: Tue, 10 Apr 2018 08:45:29 -0700 (MST) Subject: [datatable-help] Creating New Columns In A Data Frame Based on Other Variables Message-ID: <1523375129867-0.post@n4.nabble.com> I have a data.frame of the following: team_id game_id current_points 1 100 10 1 100 10 1 100 10 2 100 20 2 100 20 2 100 20 3 101 15 3 101 15 3 101 15 4 101 5 4 101 5 4 101 5 We have 2 different games in data frame and 4 separate teams. Eg. Team 1 plays Team 2 in game_id 1. What I need to do is create another 2 column with the points of the other team in the game and the points difference between the two teams. Example team_id game_id current_points other_team_points points_difference 1 100 10 20 -10 1 100 10 20 -10 1 100 10 20 -10 2 100 20 10 10 2 100 20 10 10 2 100 20 10 10 3 101 15 5 10 3 101 15 5 10 3 101 15 5 10 4 101 5 15 -10 4 101 5 15 -10 4 101 5 15 -10 How do I go about this in dplyr? -- Sent from: http://r.789695.n4.nabble.com/datatable-help-f2315188.html From mattjdowle at gmail.com Wed Apr 11 02:01:09 2018 From: mattjdowle at gmail.com (Matt Dowle) Date: Tue, 10 Apr 2018 17:01:09 -0700 Subject: [datatable-help] Proposal to close this mailing list Message-ID: All, This R-Forge mailing list has served us well but it now seems end of life. I looked through the last 200 posts back to Nov 2015. Seems low volume with very few actual data.table questions. The good ones I did see would have been better on Stack Overflow. We've now moved to 3 places, none of which existed when this mailing list was first created in March 2010 : Stack Overflow data.table tag (now over 7,000 questions) GitHub issues where we can track and tag Twitter #rdatatable for news/announcements Support Guide is here (no mention of this mailing list) : https://github.com/Rdatatable/data.table/wiki/Support If nobody replies to say they'd like to keep this mailing list, I'll close it in a few weeks. The archive will still be available. Best, Matt -------------- next part -------------- An HTML attachment was scrubbed... URL: From giacomofontanelli76 at gmail.com Wed Apr 11 18:21:33 2018 From: giacomofontanelli76 at gmail.com (ilFonta) Date: Wed, 11 Apr 2018 09:21:33 -0700 (MST) Subject: [datatable-help] adding extra layer to ggplot with conditional staement Message-ID: <1523463693721-0.post@n4.nabble.com> Hi forum I need to add boxplot layers to my ggplot chart depending on a boolean condition (TRUE/FALSE). What's wrong in what I wrote? Thank you myChart <- ggplot() if (RotIf == TRUE) { myChart = myChart + geom_boxplot(data=fileInRotSubdB, outlier.shape = NA, aes(x=fileInRotSubdB$acq_date, y=fileInRotSubdB$Mean_dB, group=fileInRotSubdB$acq_date), colour ="black", fill="red", width=1)} if (WobIf == TRUE) { myChart = myChart + geom_boxplot(data=fileInWobSub, outlier.shape = NA, aes(x=fileInWobSubdB$acq_date, y=fileInWobSubdB$Mean_dB, group=fileInWobSubdB$acq_date), colour ="black", fill="pink", width=1)} if (BroIf == TRUE) { myChart = myChart + geom_boxplot(data=fileInBroSub, outlier.shape = NA, aes(x=fileInBroSub$acq_date, y=fileInBroSub$Mean_dB, group=fileInBroSub$acq_date), colour ="black", fill="blue", width=1)} -- Sent from: http://r.789695.n4.nabble.com/datatable-help-f2315188.html From mnotarangelo at uri.edu Thu Apr 12 22:19:57 2018 From: mnotarangelo at uri.edu (Marco_Notar) Date: Thu, 12 Apr 2018 13:19:57 -0700 (MST) Subject: [datatable-help] Treating a group of variables as independent Message-ID: <1523564397371-0.post@n4.nabble.com> Hi all, I'm wondering if any of you are aware of a package that allows users to transform a data table from: Data Name # A 3 B 2 to: Data Name # A 1 A 1 A 1 B 1 B 1 I've tried using the table2df function in the psych() package but that doesn't yield the results i'm interested in; I'm essentially interested in turning a row with a value of X, into X number of rows with value of 1 for said category. Thanks, Marco. -- Sent from: http://r.789695.n4.nabble.com/datatable-help-f2315188.html From mattjdowle at gmail.com Sat Apr 14 19:07:41 2018 From: mattjdowle at gmail.com (Matt Dowle) Date: Sat, 14 Apr 2018 10:07:41 -0700 Subject: [datatable-help] This mailing list is now closed Message-ID: This R-Forge mailing list has served us well, but in the last 200 posts back to Nov 2015 it's now low volume with very few actual data.table questions. The good ones would have been better on Stack Overflow. This mailing list is now closed. We've now moved to 3 places, none of which existed when this mailing list was first created in March 2010 : * Stack Overflow data.table tag (now over 7,000 questions) * GitHub issues where we can track status and tag * Twitter #rdatatable for news/announcements Please see the Support Guide : https://github.com/Rdatatable/data.table/wiki/Support Best, Matt -------------- next part -------------- An HTML attachment was scrubbed... URL: