[R] Plotting more than one regression line in ggplot
David Winsemius
dw|n@em|u@ @end|ng |rom comc@@t@net
Wed Jun 5 19:12:11 CEST 2019
On 6/5/19 9:57 AM, David Winsemius wrote:
> On 6/5/19 9:37 AM, rain1290 using aim.com wrote:
>> Hi David (and everyone),
>>
>> Thank you for your response. I changed the column names to x and y,
>> but the error/warning persists:
>>
>> Warning message: Computation failed in `stat_smooth()`: 'what' must be
>> a function or character string
>>
>> It is quite baffling as to why this is happening. Why would it work
>> for the scatter plot and not the regression line?
I'll add that I can reproduce a similar error but not the one you reported:
> lm <- ggplot(onepctCO2MEDIAN) +
+ geom_point(aes(x,y),
+ colour="blue") + geom_smooth(aes(x,y), method=lm)
> lm
Warning message:
Computation failed in `stat_smooth()`:
'what' must be a function or character string
Rerunning after removing the `lm` data object allows successful execution:
rm(lm)
ggplot(onepctCO2MEDIAN) +
geom_point(aes(x,y),
colour="blue") + geom_smooth(aes(x,y), method=lm)
So it's probably related to the non-standard evaluation where a function
or a function name can be used and if there is a function name offered,
the ggplot evaluation model first turns it into a character string and
then accesses a data object instead of a function.
I'm guessing this would be seen by the package maintainer in due course,
but I'm copying him.
--
David
>
> Since it works perfectly well on my machine, that means we are now
> lacking the required information (from you) that is generally delivered
> via `sessionInfo()`. I get:
>
> R version 3.5.2 (2018-12-20)
> Platform: x86_64-pc-linux-gnu (64-bit)
> Running under: Ubuntu 18.04.1 LTS
>
> Matrix products: default
> BLAS: /usr/lib/x86_64-linux-gnu/openblas/libblas.so.3
> LAPACK: /usr/lib/x86_64-linux-gnu/libopenblasp-r0.2.20.so
>
> locale:
> [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C LC_TIME=en_US.UTF-8
> [4] LC_COLLATE=en_US.UTF-8 LC_MONETARY=en_US.UTF-8
> LC_MESSAGES=en_US.UTF-8
> [7] LC_PAPER=en_US.UTF-8 LC_NAME=C LC_ADDRESS=C
> [10] LC_TELEPHONE=C LC_MEASUREMENT=en_US.UTF-8
> LC_IDENTIFICATION=C
>
> attached base packages:
> [1] stats graphics grDevices utils datasets methods base
>
> other attached packages:
> [1] ggplot2_3.1.1 zoo_1.8-5
>
> loaded via a namespace (and not attached):
> [1] Rcpp_1.0.1 lattice_0.20-38 withr_2.1.2 assertthat_0.2.1
> dplyr_0.8.0.1
> [6] crayon_1.3.4 R6_2.4.0 grid_3.5.2 plyr_1.8.4
> gtable_0.3.0
> [11] magrittr_1.5 scales_1.0.0 pillar_1.3.1 rlang_0.3.4
> lazyeval_0.2.2
> [16] rstudioapi_0.10 labeling_0.3 tools_3.5.2 glue_1.3.1
> purrr_0.3.2
> [21] munsell_0.5.0 yaml_2.2.0 compiler_3.5.2 pkgconfig_2.0.2
> colorspace_1.4-1
> [26] tidyselect_0.2.5 tibble_2.1.1
>
> I'm also running:
>
> RStudio
> Version 1.1.463 – © 2009-2018 RStudio, Inc.
>
>
> You should now restart a clean session, try again with just the required
> packages and report back with full code and data.
>
>
> Best;
>
> David
>
>
>>
>> -----Original Message-----
>> From: David Winsemius <dwinsemius using comcast.net>
>> To: r-help <r-help using r-project.org>
>> Sent: Wed, Jun 5, 2019 12:00 pm
>> Subject: Re: [R] Plotting more than one regression line in ggplot
>>
>>
>> On 6/5/19 8:04 AM, rain1290--- via R-help wrote:
>>> Hi Jeff (and everyone),
>>>
>>> Thank you for your response and feedback. Yes, I know what you mean
>> - it was a blind and quick choice to use "lm" as my object name.
>> Unfortunately, changing the object name to something else does not
>> eliminate that error/warning message. As a result, the same
>> error/warning appears when running it. Oddly enough, the scatter plot
>> is just fine - it's the regression line that struggles to appear.
>> Could there be another reason for that?
>>> Thanks, again,
>>
>> TRhe error came because you did not reference the column names
>> correctly. This succeeds with the data you offered:
>>
>>
>> ggplot(onepctCO2MEDIAN) +
>> geom_jitter(aes(x,y),
>> colour="blue") + geom_smooth(aes(x,y), method=lm)
>>
>>
>> # At some point you changed the column names from
>> (RCP1pctCO2cumulativeMedian, departurea) to (x,y) , but didn't adjust
>> your code.
>>
>>
>> Best;
>>
>> David.
>>
>>> -----Original Message-----
>>> From: Jeff Newmiller <jdnewmil using dcn.davis.ca.us>
>>> To: rain1290 <rain1290 using aim.com>; rain1290--- via R-help
>> <r-help using r-project.org>; r-help <r-help using R-project.org>; r-sig-geo
>> <r-sig-geo using r-project.org>
>>> Sent: Wed, Jun 5, 2019 10:49 am
>>> Subject: Re: [R] Plotting more than one regression line in ggplot
>>>
>>> Please read the Posting Guide... posting HTML on a plain text
>> mailing list really interferes with clear communication.
>>> If you had spent even a small amount of time working with R
>> tutorials then you would know that "lm" is the name of a very basic,
>> very important R function. However, you are defining your own object
>> called "lm" that is very different indeed than the usual "lm"
>> function. I would guess that in a clean new R workspace where you had
>> not already run your ggplot function and assigned the result to your
>> own "lm" object then this code might run. However, once you have run
>> it once and try to run it again, your "method" argument gives the
>> wrong version of "lm" to geom_smooth and you confuse it.
>>> As the doctor said to the man pounding his own head against the
>> wall, "If it hurts, don't do that." Avoid re-using important object
>> names in R... some common names I see abused this way are df, data, c,
>> t, T, and F. Your choice was unusual, but quite effective at
>> illustrating the problem.
>>> On June 5, 2019 7:21:57 AM PDT, rain1290--- via R-help
>> <r-help using r-project.org> wrote:
>>>> I am trying to plot, using ggplot, a series of scatter plots with
>>>> regression lines for several datasets. I started with the following
>>>> dataset, "onepectCO2MEDIAN". The data for this dataset is as follows:
>>>> onepctCO2MEDIAN
>>>> x y
>>>> layer.1 0.000000000 0.0000000
>>>> layer.2 0.006794447 4.9002490
>>>> layer.3 0.014288058 0.1608000
>>>> layer.4 0.022087920 6.6349133
>>>> layer.5 0.030797357 -1.2429506
>>>> layer.6 0.038451072 1.5643374
>>>> layer.7 0.048087904 -2.2659035
>>>> layer.8 0.058677729 2.2070045
>>>> layer.9 0.069261406 -2.3677001
>>>> layer.10 0.080524530 -1.0913506
>>>> layer.11 0.092760246 0.4099940
>>>> layer.12 0.103789609 -0.1259727
>>>> layer.13 0.116953168 -2.4138253
>>>> layer.14 0.129253298 7.0890257
>>>> layer.15 0.141710050 -0.7593539
>>>> layer.16 0.156002052 0.0454416
>>>> layer.17 0.170648172 -1.5349683
>>>> layer.18 0.185318425 6.5524201
>>>> layer.19 0.199463055 -0.8312563
>>>> layer.20 0.213513337 -2.5099183
>>>> layer.21 0.228839271 0.1365968
>>>> layer.22 0.246981293 -1.3719845
>>>> layer.23 0.263012767 -0.8712988
>>>> layer.24 0.278505564 0.6632584
>>>> layer.25 0.293658361 0.7938036
>>>> layer.26 0.310747266 3.4880637
>>>> layer.27 0.325990349 -4.4612208
>>>> layer.28 0.342517540 0.0871734
>>>> layer.29 0.362751633 -1.4171578
>>>> layer.30 0.380199537 -0.9956508
>>>> layer.31 0.394992948 0.3215526
>>>> layer.32 0.414373398 3.1403866
>>>> layer.33 0.430690214 -0.7376099
>>>> layer.34 0.449738145 -2.4860541
>>>> layer.35 0.470167458 -3.4235858
>>>> layer.36 0.489019871 0.4824748
>>>> layer.37 0.507242471 -0.9785386
>>>> layer.38 0.524314284 8.5359684
>>>> layer.39 0.543750525 5.4844742
>>>> layer.40 0.564234197 3.2149367
>>>> layer.41 0.583679616 3.9168916
>>>> layer.42 0.601459444 4.4907020
>>>> layer.43 0.619924664 6.5410410
>>>> layer.44 0.639932007 4.8068650
>>>> layer.45 0.661347181 8.1510170
>>>> layer.46 0.684117317 0.2697413
>>>> layer.47 0.704829752 -0.1807501
>>>> layer.48 0.725045770 9.7181249
>>>> layer.49 0.745165825 1.5406466
>>>> layer.50 0.765016139 -1.6476041
>>>> layer.51 0.783461511 4.8024603
>>>> layer.52 0.806382924 4.0421516
>>>> layer.53 0.829241335 9.3756512
>>>> layer.54 0.849924415 5.3305050
>>>> layer.55 0.871352434 7.5445803
>>>> layer.56 0.893632233 6.4679547
>>>> layer.57 0.916052133 2.8096065
>>>> layer.58 0.938579470 5.3921661
>>>> layer.59 0.959907651 7.2043689
>>>> layer.60 0.981643587 3.3350806
>>>> layer.61 1.004116774 8.8690707
>>>> layer.62 1.028363466 1.7861299
>>>> layer.63 1.054009140 6.2555038
>>>> layer.64 1.072440803 7.6079236
>>>> layer.65 1.094457805 7.6871483
>>>> layer.66 1.123176277 4.7787764
>>>> layer.67 1.149430871 12.7110502
>>>> layer.68 1.170912921 -0.7156284
>>>> layer.69 1.196743071 1.6490899
>>>> layer.70 1.218625903 3.0363024
>>>> layer.71 1.241868377 4.2974769
>>>> layer.72 1.267941594 1.9543778
>>>> layer.73 1.290708780 3.9986964
>>>> layer.74 1.313222289 4.5179472
>>>> layer.75 1.339045882 0.9337905
>>>> layer.76 1.362803459 3.3050770
>>>> layer.77 1.384450197 3.5422970
>>>> layer.78 1.409720302 5.9973660
>>>> layer.79 1.435851157 0.5081869
>>>> layer.80 1.455592215 7.9661630
>>>> layer.81 1.479495347 9.9460496
>>>> layer.82 1.506051958 3.7908372
>>>> layer.83 1.525728464 2.5735847
>>>> layer.84 1.549362063 10.1404974
>>>> layer.85 1.573440671 13.7408304
>>>> layer.86 1.600278735 0.9335771
>>>> layer.87 1.623879492 9.7588742
>>>> layer.88 1.650029302 1.2769395
>>>> layer.89 1.672362328 13.4970906
>>>> layer.90 1.700221121 10.2087502
>>>> layer.91 1.724793375 1.6811275
>>>> layer.92 1.751070559 6.1178992
>>>> layer.93 1.778022110 -0.1567626
>>>> layer.94 1.803022087 3.8237479
>>>> layer.95 1.830668867 4.4331468
>>>> layer.96 1.855736911 5.9790707
>>>> layer.97 1.882615030 11.3104333
>>>> layer.98 1.909218490 8.2142607
>>>> layer.99 1.938130021 15.3209674
>>>> layer.100 1.963727593 5.8178217
>>>> layer.101 1.993271947 9.6004907
>>>> layer.102 2.022548139 3.4063646
>>>> layer.103 2.050679922 4.7375010
>>>> layer.104 2.078064442 3.0133019
>>>> layer.105 2.104113460 5.5659522
>>>> layer.106 2.133597612 12.0346333
>>>> layer.107 2.164026260 -0.4028320
>>>> layer.108 2.194852829 10.5996780
>>>> layer.109 2.224257946 5.4479584
>>>> layer.110 2.252194643 4.7052374
>>>> layer.111 2.277335048 14.0962019
>>>> layer.112 2.304058313 5.7149016
>>>> layer.113 2.330930233 3.7780072
>>>> layer.114 2.357022762 4.4120620
>>>> layer.115 2.386489272 4.1866085
>>>> layer.116 2.417503953 6.9078802
>>>> layer.117 2.448524356 2.7825739
>>>> layer.118 2.478698969 7.6171786
>>>> layer.119 2.510175705 10.2410603
>>>> layer.120 2.539697886 8.1820711
>>>> layer.121 2.567915559 4.8275494
>>>> layer.122 2.597463250 19.1624883
>>>> layer.123 2.627518773 16.0677109
>>>> layer.124 2.658759236 12.5897081
>>>> layer.125 2.692401528 9.2907988
>>>> layer.126 2.721903205 7.4262502
>>>> layer.127 2.753021359 9.3902518
>>>> layer.128 2.786313415 12.6193550
>>>> layer.129 2.819564104 11.1121040
>>>> layer.130 2.850823164 15.7907100
>>>> layer.131 2.880394101 10.7425287
>>>> layer.132 2.911391258 7.7971430
>>>> layer.133 2.942965150 8.8060858
>>>> layer.134 2.974468350 17.5606266
>>>> layer.135 3.008983612 17.3088605
>>>> layer.136 3.040015221 13.4500543
>>>> layer.137 3.072668672 14.6377884
>>>> layer.138 3.105982423 8.0798552dput(onepctCO2MEDIAN)
>>>> dput(onepctCO2MEDIAN)
>>>> structure(list(x = c(0, 0.00679444684647024, 0.014288058038801,
>>>> 0.0220879195258021,
>>>> 0.0307973567396402,0.0384510718286037,0.0480879042297602,
>>>> 0.0586777292191982, 0.0692614056169987,
>>>> 0.080524530261755,0.0927602462470531,
>>>> 0.103789608925581, 0.116953168064356, 0.129253298044205,
>>>> 0.141710050404072,
>>>> 0.156002052128315, 0.170648172497749, 0.185318425297737,
>>>> 0.199463054537773,
>>>> 0.21351333707571, 0.22883927077055, 0.246981292963028,
>>>> 0.263012766838074,
>>>> 0.278505563735962, 0.29365836083889, 0.310747265815735,
>>>> 0.325990349054337,
>>>> 0.342517539858818, 0.362751632928848, 0.380199536681175,
>>>> 0.39499294757843,
>>>> 0.414373397827148, 0.430690214037895, 0.449738144874573,
>>>> 0.470167458057404,
>>>> 0.489019870758057, 0.507242470979691, 0.524314284324646,
>>>> 0.543750524520874,
>>>> 0.56423419713974, 0.583679616451263, 0.601459443569183,
>>>> 0.619924664497375,
>>>> 0.639932006597519, 0.661347180604935, 0.684117317199707,
>>>> 0.704829752445221,
>>>> 0.725045770406723, 0.745165824890137, 0.765016138553619,
>>>> 0.783461511135101,
>>>> 0.806382924318314, 0.829241335391998, 0.84992441534996,
>>>> 0.871352434158325,
>>>> 0.893632233142853, 0.916052132844925, 0.938579469919205,
>>>> 0.959907650947571,
>>>> 0.981643587350845, 1.00411677360535, 1.02836346626282,
>>>> 1.05400913953781,
>>>> 1.07244080305099, 1.09445780515671, 1.12317627668381,
>>>> 1.14943087100983,
>>>> 1.17091292142868, 1.19674307107925, 1.21862590312958,
>>>> 1.24186837673187,
>>>> 1.26794159412384, 1.2907087802887, 1.31322228908539,
>>>> 1.33904588222504,
>>>> 1.36280345916748, 1.38445019721985, 1.40972030162811,
>>>> 1.43585115671158,
>>>> 1.45559221506119, 1.47949534654617, 1.50605195760727,
>>>> 1.52572846412659,
>>>> 1.5493620634079, 1.5734406709671, 1.60027873516083,
>>>> 1.62387949228287,
>>>> 1.65002930164337, 1.67236232757568, 1.70022112131119,
>>>> 1.72479337453842,
>>>> 1.75107055902481, 1.77802211046219, 1.80302208662033,
>>>> 1.83066886663437,
>>>> 1.85573691129684, 1.88261502981186, 1.90921849012375,
>>>> 1.93813002109528,
>>>> 1.96372759342194, 1.99327194690704, 2.02254813909531,
>>>> 2.05067992210388,
>>>> 2.07806444168091, 2.1041134595871, 2.13359761238098,
>>>> 2.16402626037598,
>>>> 2.19485282897949, 2.2242579460144, 2.25219464302063,
>>>> 2.27733504772186,
>>>> 2.30405831336975, 2.33093023300171, 2.35702276229858,
>>>> 2.38648927211761,
>>>> 2.41750395298004, 2.44852435588837, 2.47869896888733,
>>>> 2.51017570495605,
>>>> 2.53969788551331, 2.567915558815, 2.59746325016022,
>>>> 2.62751877307892,
>>>> 2.65875923633575, 2.69240152835846, 2.72190320491791,
>>>> 2.75302135944366,
>>>> 2.78631341457367, 2.8195641040802, 2.85082316398621,
>>>> 2.88039410114288,
>>>> 2.91139125823975, 2.94296514987946, 2.97446835041046,
>>>> 3.00898361206055,
>>>> 3.04001522064209, 3.07266867160797, 3.10598242282867), y = c(0,
>>>> 4.90024901723162, 0.160799993152722, 6.63491326258641,
>>>> -1.24295055804536,
>>>> 1.56433744259162, -2.26590352245208, 2.20700446463354,
>>>> -2.36770012911069,
>>>> -1.09135061899174, 0.409993989292701, -0.125972681525582,
>>>> -2.41382533818026,
>>>> 7.08902570153028, -0.759353880417294, 0.0454415959640926,
>>>> -1.53496826259972,
>>>> 6.55242014096194, -0.831256280861552, -2.50991825629084,
>>>> 0.136596820654013,
>>>> -1.37198445498419, -0.871298832596736, 0.663258363762466,
>>>> 0.793803634291308,
>>>> 3.48806373666998, -4.46122081238949, 0.0871733966938564,
>>>> -1.41715777257774,
>>>> -0.995650815648318, 0.32155262317503, 3.14038657369241,
>>>> -0.737609879885404,
>>>> -2.48605406511292, -3.423585843908, 0.482474753780281,
>>>> -0.978538630093809,
>>>> 8.53596837794201, 5.48447420320695, 3.21493665820644,
>>>> 3.91689160157513,
>>>> 4.49070195980797, 6.54104103157039, 4.80686500146557,
>>>> 8.15101701282067,
>>>> 0.26974132191657, -0.180750068063062, 9.71812491230244,
>>>> 1.54064657400204,
>>>> -1.64760408795688, 4.80246028991894, 4.04215159914344,
>>>> 9.37565121768513,
>>>> 5.33050496938428, 7.54458026088508, 6.46795470819342,
>>>> 2.80960651433971,
>>>> 5.39216613235986, 7.20436888038562, 3.3350806460997,
>>>> 8.86907069895943,
>>>> 1.78612988613659, 6.25550382050395, 7.60792364896564,
>>>> 7.68714830528144,
>>>> 4.77877638957615, 12.7110501777314, -0.715628443181046,
>>>> 1.64908991824022,
>>>> 3.03630240714679, 4.29747688442346, 1.95437780501881,
>>>> 3.99869636910933,
>>>> 4.51794724689848, 0.933790484492299, 3.30507700050003,
>>>> 3.5422970157433,
>>>> 5.99736597322524, 0.508186860060022, 7.96616300581067,
>>>> 9.94604963036295,
>>>> 3.79083717222623, 2.57358468532258, 10.1404974171776,
>>>> 13.7408303595752,
>>>> 0.933577123801399, 9.75887417074129, 1.27693947132921,
>>>> 13.4970905965787,
>>>> 10.2087501765735, 1.68112753028756, 6.1178991508927,
>>>> -0.156762622680077,
>>>> 3.82374791691426, 4.43314678736265, 5.97907067167507,
>>>> 11.3104332518482,
>>>> 8.21426074201525, 15.320967360602, 5.81782169471483,
>>>> 9.6004907412354,
>>>> 3.40636455909704, 4.73750103921864, 3.0133019468806,
>>>> 5.56595224859066,
>>>> 12.0346332527215, -0.40283199827104, 10.5996779538754,
>>>> 5.44795836991128,
>>>> 4.70523736412729, 14.096201892183, 5.71490161813391,
>>>> 3.77800720810782,
>>>> 4.41206200639436, 4.18660847858423, 6.90788020044911,
>>>> 2.78257393345915,
>>>> 7.61717857379431, 10.2410602647684, 8.18207106836167,
>>>> 4.82754943871433,
>>>> 19.1624882857155, 16.0677109398509, 12.589708067017,
>>>> 9.29079879799404,
>>>> 7.42625019725314, 9.39025179806185, 12.6193550331438,
>>>> 11.1121039747257,
>>>> 15.7907099734986, 10.7425286789233, 7.79714300307344,
>>>> 8.80608578166101,
>>>> 17.5606266346039, 17.3088604929222, 13.4500543478523,
>>>> 14.6377884248645,
>>>> 8.07985518296064)), class = "data.frame", row.names = c("layer.1",
>>>> "layer.2", "layer.3", "layer.4", "layer.5", "layer.6", "layer.7",
>>>> "layer.8", "layer.9", "layer.10", "layer.11", "layer.12",
>>>> "layer.13",
>>>> "layer.14", "layer.15", "layer.16", "layer.17", "layer.18",
>>>> "layer.19",
>>>> "layer.20", "layer.21", "layer.22", "layer.23", "layer.24",
>>>> "layer.25",
>>>> "layer.26", "layer.27", "layer.28", "layer.29", "layer.30",
>>>> "layer.31",
>>>> "layer.32", "layer.33", "layer.34", "layer.35", "layer.36",
>>>> "layer.37",
>>>> "layer.38", "layer.39", "layer.40", "layer.41", "layer.42",
>>>> "layer.43",
>>>> "layer.44", "layer.45", "layer.46", "layer.47", "layer.48",
>>>> "layer.49",
>>>> "layer.50", "layer.51", "layer.52", "layer.53", "layer.54",
>>>> "layer.55",
>>>> "layer.56", "layer.57", "layer.58", "layer.59", "layer.60",
>>>> "layer.61",
>>>> "layer.62", "layer.63", "layer.64", "layer.65", "layer.66",
>>>> "layer.67",
>>>> "layer.68", "layer.69", "layer.70", "layer.71", "layer.72",
>>>> "layer.73",
>>>> "layer.74", "layer.75", "layer.76", "layer.77", "layer.78",
>>>> "layer.79",
>>>> "layer.80", "layer.81", "layer.82", "layer.83", "layer.84",
>>>> "layer.85",
>>>> "layer.86", "layer.87", "layer.88", "layer.89", "layer.90",
>>>> "layer.91",
>>>> "layer.92", "layer.93", "layer.94", "layer.95", "layer.96",
>>>> "layer.97",
>>>> "layer.98", "layer.99", "layer.100", "layer.101", "layer.102",
>>>> "layer.103", "layer.104", "layer.105", "layer.106", "layer.107",
>>>> "layer.108", "layer.109", "layer.110", "layer.111", "layer.112",
>>>> "layer.113", "layer.114", "layer.115", "layer.116", "layer.117",
>>>> "layer.118", "layer.119", "layer.120", "layer.121", "layer.122",
>>>> "layer.123", "layer.124", "layer.125", "layer.126", "layer.127",
>>>> "layer.128", "layer.129", "layer.130", "layer.131", "layer.132",
>>>> "layer.133", "layer.134", "layer.135", "layer.136", "layer.137",
>>>> "layer.138"))
>>>> I started with the following to generate the first regression line and
>>>> scatter plot: lm<-ggplot(onepctCO2MEDIAN) +
>>>> geom_jitter(aes(RCP1pctCO2cumulativeMedian[1:138], departurea),
>>>> colour="blue") +
>> geom_smooth(aes(RCP1pctCO2cumulativeMedian[1:138],
>>>> departurea), method=lm)
>>>> But I receive this error: Warning message:
>>>> Computation failed in `stat_smooth()`:
>>>> 'what' must be a function or character string
>>>> A blue scatter plot is successfully generated, but the problem is that
>>>> the regression line does not appear, presumably related to the above
>>>> warning.
>>>> Is there a reason for this? I would appreciate any assistance!
>>>> [[alternative HTML version deleted]]
>>>>
>>>> ______________________________________________
>>>> R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
>>>> 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.
>>
>> ______________________________________________
>> R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
>> 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.
> [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
> 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.
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