cut variable within a loop
On Aug 16, 2015, at 8:57 AM, Janka VANSCHOENWINKEL wrote:
Hi David, Thanks for your comment. I'll explain what I want to do. I explained it already earlier but the explanation might have gone lost in some of the emails.
I now see that you did explain that you wanted the positional matching in cut2 as a "break". The code runs without error on my machine, but delivers a lot of warnings about masking. You are repeatedly using attach on the same named objects. Using `attach` in programming is generally not a good idea. In interactive use it is safer to use `with`, although that is not generally considered safe in programming, either. You need to do a better job of nailing down the source of the difficulty what ever it might be. While you say the cut2 function "doesn't work", you don't actually give evidence of "failure". It's fairly simple to show that your theory about why your code fails in some way as being due to cut2 failing to accept an "i" value inside an lapply call is just wrong:
o <- lapply(1:3, function(i) { cut2( 0:10, i) } )
o
[[1]] [1] 0 [ 1,10] [ 1,10] [ 1,10] [ 1,10] [ 1,10] [ 1,10] [8] [ 1,10] [ 1,10] [ 1,10] [ 1,10] Levels: 0 [ 1,10] [[2]] [1] [ 0, 2) [ 0, 2) [ 2,10] [ 2,10] [ 2,10] [ 2,10] [ 2,10] [8] [ 2,10] [ 2,10] [ 2,10] [ 2,10] Levels: [ 0, 2) [ 2,10] [[3]] [1] [ 0, 3) [ 0, 3) [ 0, 3) [ 3,10] [ 3,10] [ 3,10] [ 3,10] [8] [ 3,10] [ 3,10] [ 3,10] [ 3,10] Levels: [ 0, 3) [ 3,10] You also have two different definitions of weight2 for your irrigation model: Alldata_Irrigation$weight2<-Alldata_Irrigation$sys02*Alldata_Irrigation$se025 Alldata_Irrigation$weight2<-Alldata_Irrigation$b48+Alldata_Irrigation$b50
David
>
> The variable irrigation ranges from 0 to 100. (maybe not in de small sample I gave, but in reality I have over 60000 observations and there the variable ranges from 0 to 100). I want to make (and use) 100 different samples. The sample is based each time on the "i" that I put at the beginning of the loop.
>
> So:
>
> i = 1: this means there are 2 subsets. One from 0-1, another from 1-100
> i = 2: this means there are 2 subsets. One from 0-2, another from 2-100
> i = 3: this means there are 2 subsets. One from 0-3, another from 3-100
> i = 4: this means there are 2 subsets. One from 0-4, another from 4-100
> ...
> i = 96: this means there are 2 subsets. One from 0-96, another from 96-100
> i = 97: this means there are 2 subsets. One from 0-97, another from 97-100
> i = 98: this means there are 2 subsets. One from 0-98, another from 98-100
> i = 99: this means there are 2 subsets. One from 0-99, another from 99-100
>
> It might be possible that i = 1 and i = 2 give the same results in the small dataset. But in the full dataset all numbers are represented.
>
> The cut2 function is capable of "cutting" a sample based on a number supplied. Yet, when I tell him this number is "i", then it doesn't work. If instead I write that the number is 10, then it does work and it gives me 2 subsets from 0-10 and from 10-100.
>
> Hope this is more clear!
>
> Janka
>
>
> 2015-08-14 20:10 GMT+02:00 David Winsemius <dwinsemius at comcast.net>:
>
> When using a function in R you may need to supply an argument name. Are you expecting this to be the number of groups. I cannot decipher the intent here with such sparse commentary, but this call to `cut2` does not make sense to me. Perhaps you meant the number of groups? .... in which case you need cut2( Alldata$irrigation, g=i ), since the arguments to cut2 are not that same as the arguments to cut.
>
> At the moment you are implicitly sending on the first pass a 1 and then on the second pass a 2 to the second argument of cut2 which is the `breaks` argument. So you wold be getting two different factors each with different cut-point levels. I looked at your data and in point of fact there would be no difference since you have 29 zero values and no values between 0 and 1.
>
> > table(cut2(dat$irrigation, 1))
>
> 0 [ 1,100]
> 29 21
> > table(cut2(dat$irrigation, 2))
>
> 0 [ 2,100]
> 29 21
>
>
>
>
> > levels(Alldata$irri)<-c("0","1")
> >
> > Alldata_Rainfed<-subset(Alldata, irri == 0)
> > Alldata_Irrigation<-subset(Alldata, irri == 1)
> >
> > Alldata_Rainfed$w<-Alldata_Rainfed$b48+Alldata_Rainfed$b50
> > Alldata_Irrigation$w<-Alldata_Irrigation$b48+Alldata_Irrigation$b50
> >
> > OLS_Rainfed <- lm(LnALVperHA~ps1+ps2+ps3+ps4+ts1+ts2+ts3+ts4+
> > ps1sq+ps2sq+ps3sq+ps4sq+ts1sq+ts2sq+ts3sq+ts4sq+
> > pdnsty+portsML+cities500k+rentedland+subsidies1+
> > elevmean+elevrange+
> > t_gravel+t_gravel+t_ph_h2o+t_silt+t_sand+
> > AT+BE+DK+ES+FI+FR+GR+IE+IT+LU+NL+PT+SE+WDE+EDE+UK,
> > weights=w,Alldata_Rainfed)
> >
> > attach(Alldata_Rainfed)
> >
> > CoefRainfed_ps1 <- OLS_Rainfed$coeff[2]
> > CoefRainfed_ps2 <- OLS_Rainfed$coeff[3]
> > CoefRainfed_ps3 <- OLS_Rainfed$coeff[4]
> > CoefRainfed_ps4 <- OLS_Rainfed$coeff[5]
> > CoefRainfed_ts1 <- OLS_Rainfed$coeff[6]
> > CoefRainfed_ts2 <- OLS_Rainfed$coeff[7]
> > CoefRainfed_ts3 <- OLS_Rainfed$coeff[8]
> > CoefRainfed_ts4 <- OLS_Rainfed$coeff[9]
> > CoefRainfed_ps1sq <- OLS_Rainfed$coeff[10]
> > CoefRainfed_ps2sq <- OLS_Rainfed$coeff[11]
> > CoefRainfed_ps3sq <- OLS_Rainfed$coeff[12]
> > CoefRainfed_ps4sq <- OLS_Rainfed$coeff[13]
> > CoefRainfed_ts1sq <- OLS_Rainfed$coeff[14]
> > CoefRainfed_ts2sq <- OLS_Rainfed$coeff[15]
> > CoefRainfed_ts3sq <- OLS_Rainfed$coeff[16]
> > CoefRainfed_ts4sq <- OLS_Rainfed$coeff[17]
> >
> > attach(Alldata_Rainfed)
> >
> >
> > ###### MARGINAL EFFECTS SEASONAL and YEARLY and REGIONAL (EU or COUNTRY level)
> > # Maar dit is dus de marginale impact per LnALVperHA?
> >
> > Alldata_Rainfed$MEts1 =
> > CoefRainfed_ts1+2*CoefRainfed_ts1sq*Alldata_Rainfed$ts1
> > Alldata_Rainfed$MEts2 =
> > CoefRainfed_ts2+2*CoefRainfed_ts2sq*Alldata_Rainfed$ts2
> > Alldata_Rainfed$MEts3 =
> > CoefRainfed_ts3+2*CoefRainfed_ts3sq*Alldata_Rainfed$ts3
> > Alldata_Rainfed$MEts4 =
> > CoefRainfed_ts4+2*CoefRainfed_ts4sq*Alldata_Rainfed$ts4
> > Alldata_Rainfed$MEt = Alldata_Rainfed$MEts1 +
> > Alldata_Rainfed$MEts2 + Alldata_Rainfed$MEts3 + Alldata_Rainfed$MEts4
> >
> > Alldata_Rainfed$MEps1 =
> > CoefRainfed_ps1+2*CoefRainfed_ps1sq*Alldata_Rainfed$ps1
> > Alldata_Rainfed$MEps2 =
> > CoefRainfed_ps2+2*CoefRainfed_ps2sq*Alldata_Rainfed$ps2
> > Alldata_Rainfed$MEps3 =
> > CoefRainfed_ps3+2*CoefRainfed_ps3sq*Alldata_Rainfed$ps3
> > Alldata_Rainfed$MEps4 =
> > CoefRainfed_ps4+2*CoefRainfed_ps4sq*Alldata_Rainfed$ps4
> > Alldata_Rainfed$MEp = Alldata_Rainfed$MEps1 +
> > Alldata_Rainfed$MEps2 + Alldata_Rainfed$MEps3 + Alldata_Rainfed$MEps4
> >
> >
> > Alldata_Rainfed$weight2<-Alldata_Rainfed$b48+Alldata_Rainfed$b50
> > attach(Alldata_Rainfed)
> > library(stats)
> > MEt_Rainfed<-weighted.mean(MEt,weight2)
> > MEp_Rainfed<-weighted.mean(MEp,weight2)
> >
> >
> >
> > attach(Alldata_Irrigation)
> >
> > OLS_Irrigation <- lm(LnALVperHA~ps1+ps2+ps3+ps4+ts1+ts2+ts3+ts4+
> > ps1sq+ps2sq+ps3sq+ps4sq+ts1sq+ts2sq+ts3sq+ts4sq+
> > pdnsty+portsML+cities500k+rentedland+subsidies1+
> > elevmean+elevrange+
> > t_gravel+t_gravel+t_ph_h2o+t_silt+t_sand+
> > AT+BE+DK+ES+FI+FR+GR+IE+IT+LU+NL+PT+SE+WDE+EDE+UK,
> > weights=w,Alldata_Irrigation)
> >
> >
> >
> > CoefIrrigation_ps1 <- OLS_Irrigation$coeff[2]
> > CoefIrrigation_ps2 <- OLS_Irrigation$coeff[3]
> > CoefIrrigation_ps3 <- OLS_Irrigation$coeff[4]
> > CoefIrrigation_ps4 <- OLS_Irrigation$coeff[5]
> > CoefIrrigation_ts1 <- OLS_Irrigation$coeff[6]
> > CoefIrrigation_ts2 <- OLS_Irrigation$coeff[7]
> > CoefIrrigation_ts3 <- OLS_Irrigation$coeff[8]
> > CoefIrrigation_ts4 <- OLS_Irrigation$coeff[9]
> > CoefIrrigation_ps1sq <- OLS_Irrigation$coeff[10]
> > CoefIrrigation_ps2sq <- OLS_Irrigation$coeff[11]
> > CoefIrrigation_ps3sq <- OLS_Irrigation$coeff[12]
> > CoefIrrigation_ps4sq <- OLS_Irrigation$coeff[13]
> > CoefIrrigation_ts1sq <- OLS_Irrigation$coeff[14]
> > CoefIrrigation_ts2sq <- OLS_Irrigation$coeff[15]
> > CoefIrrigation_ts3sq <- OLS_Irrigation$coeff[16]
> > CoefIrrigation_ts4sq <- OLS_Irrigation$coeff[17]
> >
> > attach(Alldata_Irrigation)
> > # gives the residual errors in Y
> > Alldata_Irrigation$residuals <-resid(OLS_Irrigation)
> >
> > # gives the predicted values for Ln_Y
> > Alldata_Irrigation$Ln_y_hat <-fitted(OLS_Irrigation)
> >
> > # Zelf functie rmse maken
> > rmse <- function(error)
> > {
> > sqrt(mean(error^2))
> > }
> > Alldata_Irrigation$y_hat <-
> > exp(Alldata_Irrigation$Ln_y_hat)*exp(0.5*(rmse(OLS_Irrigation$residuals))^2)
> >
> > # absolute impact (landwaarde current)
> > Alldata_Irrigation$absolute.current<-Alldata_Irrigation$y_hat*Alldata_Irrigation$se025*Alldata_Irrigation$sys02
> >
> >
> > ###### MARGINAL EFFECTS SEASONAL and YEARLY and REGIONAL (EU or COUNTRY level)
> > # Maar dit is dus de marginale impact per LnALVperHA?
> >
> > Alldata_Irrigation$MEts1 =
> > CoefIrrigation_ts1+2*CoefIrrigation_ts1sq*Alldata_Irrigation$ts1
> > Alldata_Irrigation$MEts2 =
> > CoefIrrigation_ts2+2*CoefIrrigation_ts2sq*Alldata_Irrigation$ts2
> > Alldata_Irrigation$MEts3 =
> > CoefIrrigation_ts3+2*CoefIrrigation_ts3sq*Alldata_Irrigation$ts3
> > Alldata_Irrigation$MEts4 =
> > CoefIrrigation_ts4+2*CoefIrrigation_ts4sq*Alldata_Irrigation$ts4
> > Alldata_Irrigation$MEt = Alldata_Irrigation$MEts1 +
> > Alldata_Irrigation$MEts2 + Alldata_Irrigation$MEts3 +
> > Alldata_Irrigation$MEts4
> >
> > Alldata_Irrigation$MEps1 =
> > CoefIrrigation_ps1+2*CoefIrrigation_ps1sq*Alldata_Irrigation$ps1
> > Alldata_Irrigation$MEps2 =
> > CoefIrrigation_ps2+2*CoefIrrigation_ps2sq*Alldata_Irrigation$ps2
> > Alldata_Irrigation$MEps3 =
> > CoefIrrigation_ps3+2*CoefIrrigation_ps3sq*Alldata_Irrigation$ps3
> > Alldata_Irrigation$MEps4 =
> > CoefIrrigation_ps4+2*CoefIrrigation_ps4sq*Alldata_Irrigation$ps4
> > Alldata_Irrigation$MEp = Alldata_Irrigation$MEps1 +
> > Alldata_Irrigation$MEps2 + Alldata_Irrigation$MEps3 +
> > Alldata_Irrigation$MEps4
> >
> >
> > Alldata_Irrigation$weight2<-Alldata_Irrigation$sys02*Alldata_Irrigation$se025
> > Alldata_Irrigation$weight2<-Alldata_Irrigation$b48+Alldata_Irrigation$b50
> >
> > attach(Alldata_Irrigation)
> > library(stats)
> > MEt_Irrigation<-weighted.mean(MEt,weight2)
> > MEp_Irrigation<-weighted.mean(MEp,weight2)
> >
> > c(MEt_Rainfed,MEp_Rainfed,MEt_Irrigation,MEp_Irrigation)
> >
> > attach(Alldata)
> >
> >
> > # And in the loop (index i):
> >
> > d[i, ] = c(MEt_Rainfed,MEp_Rainfed,MEt_Irrigation,MEp_Irrigation)
> >
> >
> > })
> > out<-as.data.frame(do.call(rbind, o))
> >
> >
> >
> >
> > And the data are:
> >
> > structure(list(LnALVperHA = c(8.09964942932129, 9.53274631500244,
> > 7.42697763442993, 8.25370121002197, 8.42619132995605, 8.0093936920166,
> > 8.09785747528076, 8.49044704437256, 9.08215141296387, 8.38935947418213,
> > 8.67814350128174, 8.38935947418213, 10.4056901931763, 8.48210144042969,
> > 8.30281829833984, 8.92265796661377, 8.33178997039795, 4.54404163360596,
> > 10.662184715271, 9.62167072296143, 7.98790407180786, 7.58244323730469,
> > 7.23262739181519, 9.47037124633789, 8.93403625488281, 7.54256629943848,
> > 9.40302467346191, 10.6290521621704, 8.59830188751221, 8.59585666656494,
> > 9.10000514984131, 9.99381542205811, 9.54681301116943, 9.53055191040039,
> > 8.67971229553223, 7.19780731201172, 8.90067958831787, 6.0509786605835,
> > 6.55788946151733, 8.22567272186279, 9.05618953704834, 6.81858921051025,
> > 8.46410751342773, 7.81292057037354, 8.38989448547363, 10.4709157943726,
> > 8.06132888793945, 8.43629264831543, 10.3087100982666, 10.3218297958374
> > ), ps1 = c(5.14855766296387, 4.71904611587524, 7.9462103843689,
> > 10.6017990112305, 11.233078956604, 9.12952136993408, 12.6536712646484,
> > 11.233078956604, 11.233078956604, 11.233078956604, 11.233078956604,
> > 11.233078956604, 5.93759632110596, 10.6017990112305, 11.233078956604,
> > 10.6017990112305, 7.95780467987061, 9.07744884490967, 4.29865598678589,
> > 8.27481746673584, 3.25137901306152, 4.51061344146729, 6.34518480300903,
> > 6.66202449798584, 6.66202449798584, 4.75249433517456, 6.28858852386475,
> > 6.33270215988159, 10.3600759506226, 10.3600759506226, 18.7164611816406,
> > 5.73318386077881, 7.92949104309082, 9.09823608398438, 11.233078956604,
> > 10.4455404281616, 11.233078956604, 10.4455404281616, 10.4455404281616,
> > 10.6017990112305, 9.19112777709961, 10.4455404281616, 11.233078956604,
> > 11.064302444458, 11.233078956604, 5.93759632110596, 11.233078956604,
> > 10.6017990112305, 6.05948448181152, 9.5645227432251), ps2 = c(5.23111915588379,
> > 4.86784505844116, 7.7175760269165, 4.34898376464844, 4.48626232147217,
> > 9.57159423828125, 8.38174915313721, 4.48626232147217, 4.48626232147217,
> > 4.48626232147217, 4.48626232147217, 4.48626232147217, 6.87198734283447,
> > 4.34898376464844, 4.48626232147217, 4.34898376464844, 6.2098217010498,
> > 7.5497522354126, 5.62545442581177, 5.57168531417847, 3.08954334259033,
> > 6.6683931350708, 4.41767883300781, 6.11901044845581, 6.11901044845581,
> > 4.06884765625, 6.35917854309082, 5.7121729850769, 8.55229663848877,
> > 8.55229663848877, 11.8981914520264, 5.49351119995117, 5.34777498245239,
> > 6.12420177459717, 4.48626232147217, 5.2967677116394, 4.48626232147217,
> > 5.2967677116394, 5.2967677116394, 4.34898376464844, 4.51386308670044,
> > 5.2967677116394, 4.48626232147217, 5.98725175857544, 4.48626232147217,
> > 6.87198734283447, 4.48626232147217, 4.34898376464844, 5.58411026000977,
> > 4.42436075210571), ps3 = c(4.95634937286377, 3.50353670120239,
> > 6.01129817962646, 0.851324141025543, 0.816295921802521, 8.03804397583008,
> > 5.56230783462524, 0.816295921802521, 0.816295921802521, 0.816295921802521,
> > 0.816295921802521, 0.816295921802521, 6.01666784286499, 0.851324141025543,
> > 0.816295921802521, 0.851324141025543, 3.45424580574036, 5.31899690628052,
> > 7.45753812789917, 3.34133338928223, 6.61472988128662, 11.244439125061,
> > 2.19617891311646, 5.29748106002808, 5.29748106002808, 1.63307499885559,
> > 5.51272773742676, 6.78562116622925, 4.5334997177124, 4.5334997177124,
> > 4.31791353225708, 7.10963106155396, 2.32198905944824, 2.74845194816589,
> > 0.816295921802521, 1.47570741176605, 0.816295921802521, 1.47570741176605,
> > 1.47570741176605, 0.851324141025543, 1.39068424701691, 1.47570741176605,
> > 0.816295921802521, 1.85064959526062, 0.816295921802521, 6.01666784286499,
> > 0.816295921802521, 0.851324141025543, 6.78009986877441, 1.21070051193237
> > ), ps4 = c(5.66667366027832, 4.82342433929443, 7.40090322494507,
> > 6.59299898147583, 7.33758926391602, 9.98004341125488, 10.3958940505981,
> > 7.33758926391602, 7.33758926391602, 7.33758926391602, 7.33758926391602,
> > 7.33758926391602, 8.31999015808105, 6.59299898147583, 7.33758926391602,
> > 6.59299898147583, 7.05771064758301, 8.38344383239746, 4.75349426269531,
> > 9.00399303436279, 5.48189449310303, 5.9071044921875, 5.30881881713867,
> > 8.68398857116699, 8.68398857116699, 4.32339859008789, 8.57950687408447,
> > 6.78787326812744, 8.68624305725098, 8.68624305725098, 12.9021902084351,
> > 6.14854049682617, 6.71301507949829, 7.50605535507202, 7.33758926391602,
> > 8.11069011688232, 7.33758926391602, 8.11069011688232, 8.11069011688232,
> > 6.59299898147583, 5.92181205749512, 8.11069011688232, 7.33758926391602,
> > 9.29954528808594, 7.33758926391602, 8.31999015808105, 7.33758926391602,
> > 6.59299898147583, 6.16447877883911, 5.83903217315674), ts1 = c(4.19949150085449,
> > 2.46556353569031, 3.96805644035339, 9.05560302734375, 9.5199556350708,
> > 1.18671488761902, 6.60286664962769, 9.5199556350708, 9.5199556350708,
> > 9.5199556350708, 9.5199556350708, 9.5199556350708, 2.12847352027893,
> > 9.05560302734375, 9.5199556350708, 9.05560302734375, 2.11432313919067,
> > 6.49393510818481, -0.165110915899277, 7.78503036499023, -7.71160411834717,
> > -0.979450941085815, 4.96369075775146, 4.28496122360229, 4.28496122360229,
> > 6.35976600646973, 3.02656149864197, 2.80754446983337, 5.94739389419556,
> > 5.94739389419556, 8.70161914825439, 1.57025468349457, 5.08782005310059,
> > 4.27688789367676, 9.5199556350708, 8.49832916259766, 9.5199556350708,
> > 8.49832916259766, 8.49832916259766, 9.05560302734375, 6.33359289169312,
> > 8.49832916259766, 9.5199556350708, 7.99740839004517, 9.5199556350708,
> > 2.12847352027893, 9.5199556350708, 9.05560302734375, 2.67069268226624,
> > 7.33829879760742), ts2 = c(9.89923763275146, 10.9084701538086,
> > 9.61682415008545, 13.6253662109375, 13.8121919631958, 6.19518041610718,
> > 9.40560817718506, 13.8121919631958, 13.8121919631958, 13.8121919631958,
> > 13.8121919631958, 13.8121919631958, 10.3912172317505, 13.6253662109375,
> > 13.8121919631958, 13.6253662109375, 9.77112770080566, 11.5460777282715,
> > 8.18180465698242, 12.9412984848022, 2.54625177383423, 8.29829216003418,
> > 10.6650953292847, 10.1770324707031, 10.1770324707031, 12.4333782196045,
> > 8.98324680328369, 8.45312309265137, 9.23384857177734, 9.23384857177734,
> > 11.371600151062, 8.09108352661133, 12.0714511871338, 11.385799407959,
> > 13.8121919631958, 13.912787437439, 13.8121919631958, 13.912787437439,
> > 13.912787437439, 13.6253662109375, 12.0018119812012, 13.912787437439,
> > 13.8121919631958, 14.0190010070801, 13.8121919631958, 10.3912172317505,
> > 13.8121919631958, 13.6253662109375, 8.53981018066406, 12.7294788360596
> > ), ts3 = c(17.718994140625, 21.1172523498535, 17.8669090270996,
> > 23.1215572357178, 22.9536685943604, 15.3891229629517, 15.7000684738159,
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> > 1.75399994850159), t_gravel = c(4.58953237533569, 13.3146963119507,
> > 10.0136280059814, 13.8894920349121, 13.9366893768311, 13.5653190612793,
> > 7.71220588684082, 13.9366893768311, 13.9366893768311, 13.9366893768311,
> > 13.9366893768311, 13.9366893768311, 11.4818019866943, 13.8894920349121,
> > 13.9366893768311, 13.8894920349121, 13.4321727752686, 5.71388387680054,
> > 8.03888702392578, 9.01077747344971, 4.58924961090088, 8.14134693145752,
> > 11.8983144760132, 9.96716785430908, 9.96716785430908, 11.1739711761475,
> > 10.4019403457642, 5.16821479797363, 10.7357034683228, 10.7357034683228,
> > 9.23897457122803, 4.3336238861084, 10.9520101547241, 12.9722995758057,
> > 13.9366893768311, 13.1780118942261, 13.9366893768311, 13.1780118942261,
> > 13.1780118942261, 13.8894920349121, 12.7335777282715, 13.1780118942261,
> > 13.9366893768311, 12.315260887146, 13.9366893768311, 11.4818019866943,
> > 13.9366893768311, 13.8894920349121, 6.68424606323242, 14.101095199585
> > ), t_ph_h2o = c(6.07352828979492, 6.72695684432983, 5.60523176193237,
> > 6.13967752456665, 6.86059141159058, 7.40929126739502, 5.68151950836182,
> > 6.86059141159058, 6.86059141159058, 6.86059141159058, 6.86059141159058,
> > 6.86059141159058, 6.51894521713257, 6.13967752456665, 6.86059141159058,
> > 6.13967752456665, 6.98909568786621, 5.5628228187561, 6.68793487548828,
> > 6.57724285125732, 4.67033195495605, 6.32772016525269, 6.4612717628479,
> > 6.73934555053711, 6.73934555053711, 6.80293703079224, 6.17414236068726,
> > 7.03696584701538, 5.93052577972412, 5.93052577972412, 5.43228578567505,
> > 5.5989408493042, 6.86088180541992, 6.68706750869751, 6.86059141159058,
> > 6.00043678283691, 6.86059141159058, 6.00043678283691, 6.00043678283691,
> > 6.13967752456665, 6.89467239379883, 6.00043678283691, 6.86059141159058,
> > 6.81896543502808, 6.86059141159058, 6.51894521713257, 6.86059141159058,
> > 6.13967752456665, 5.63159275054932, 6.13170003890991), t_silt =
> > c(34.2329025268555,
> > 33.4969100952148, 34.4774589538574, 27.8914813995361, 31.9258117675781,
> > 39.6254501342773, 34.7939414978027, 31.9258117675781, 31.9258117675781,
> > 31.9258117675781, 31.9258117675781, 31.9258117675781, 26.6626663208008,
> > 27.8914813995361, 31.9258117675781, 27.8914813995361, 29.7444763183594,
> > 21.3432540893555, 37.4038734436035, 28.1513748168945, 19.4936828613281,
> > 33.5968360900879, 32.8024406433105, 33.313850402832, 33.313850402832,
> > 28.3197917938232, 33.3154563903809, 38.103458404541, 36.0389099121094,
> > 36.0389099121094, 34.9229164123535, 26.5577545166016, 30.9245643615723,
> > 31.1334323883057, 31.9258117675781, 27.1493148803711, 31.9258117675781,
> > 27.1493148803711, 27.1493148803711, 27.8914813995361, 31.3038387298584,
> > 27.1493148803711, 31.9258117675781, 31.6541061401367, 31.9258117675781,
> > 26.6626663208008, 31.9258117675781, 27.8914813995361, 15.6523361206055,
> > 27.803352355957), t_sand = c(47.0063323974609, 37.0355186462402,
> > 45.8286781311035, 36.0810203552246, 39.9931793212891, 39.3664970397949,
> > 46.2948226928711, 39.9931793212891, 39.9931793212891, 39.9931793212891,
> > 39.9931793212891, 39.9931793212891, 49.3508529663086, 36.0810203552246,
> > 39.9931793212891, 36.0810203552246, 39.2436943054199, 65.7813262939453,
> > 35.8039131164551, 51.2884674072266, 66.2952728271484, 46.6789817810059,
> > 41.4505424499512, 44.4590721130371, 44.4590721130371, 48.7276763916016,
> > 43.3654098510742, 33.999683380127, 43.040699005127, 43.040699005127,
> > 43.2519073486328, 59.4827156066895, 43.8675765991211, 41.7124671936035,
> > 39.9931793212891, 34.94921875, 39.9931793212891, 34.94921875,
> > 34.94921875, 36.0810203552246, 39.1853942871094, 34.94921875,
> > 39.9931793212891, 39.8589019775391, 39.9931793212891, 49.3508529663086,
> > 39.9931793212891, 36.0810203552246, 75.7048721313477, 33.5687866210938
> > ), AT = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), BE = c(0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0), DE = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), DK = c(0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0), ES = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), FI = c(0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0), FR = c(1, 0, 1, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), GR = c(0, 1, 0,
> > 1, 1, 0, 0, 1, 1, 1, 1, 1, 0, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,
> > 0, 1, 1, 0, 1), IE = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), IT = c(0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0,
> > 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 1, 0, 0, 0, 0), LU = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), NL = c(0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 1, 0), PT = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), SE = c(0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0), WDE = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), EDE = c(0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0), UK = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), CY = c(0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0), BG = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), CZ = c(0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0), EE = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), HU = c(0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0), LT = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), LV = c(0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0), PL = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), RO = c(0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0), SI = c(0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), SK = c(0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0), b48 = c(70, 2.70000004768372, 63.9000015258789,
> > 5.5, 6.30000019073486, 8.80000019073486, 48.0800018310547, 5.09999990463257,
> > 6.40000009536743, 6, 6.69999980926514, 4, 6.30000019073486, 5.80000019073486,
> > 8.80000019073486, 2, 13, 0.5, 10.25, 34, 65.2300033569336, 37.7799987792969,
> > 74.9400024414062, 31.0200004577637, 20.0300006866455, 70.7200012207031,
> > 40, 4.90000009536743, 13.5, 5, 26.8700008392334, 3, 2, 3.09999990463257,
> > 6.80000019073486, 15.6999998092651, 9.19999980926514, 5.30000019073486,
> > 4.59999990463257, 17.3999996185303, 7, 4.90000009536743, 13.3999996185303,
> > 2.34999990463257, 8.5, 24.8700008392334, 4, 1.39999997615814,
> > 34.7799987792969, 6.69999980926514), b50 = c(0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 34.2400016784668, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 0, 0, 0, 0, 0), irrigation = c(0, 100, 0, 5.45454584062099,
> > 7.9365074634552, 89.3392562866211, 0, 17.6470592617989, 0, 0,
> > 65.5172407627106, 0, 61.904764175415, 34.4827562570572, 7.95454531908035,
> > 75, 0, 0, 0, 0, 0, 0, 5.26393800973892, 0, 0, 0, 0, 0, 0, 0,
> > 0, 0, 74.6153831481934, 84.6153914928436, 0, 5.09554147720337,
> > 0, 0, 0, 21.0884347558022, 18.4549376368523, 6.1224490404129,
> > 25.3731369972229, 2.12765969336033, 0, 84.3988716602325, 0, 0,
> > 0, 100), awc_class = c(106.228088378906, 78.2306137084961, 80.9311141967773,
> > 32.4921531677246, 54.8475151062012, 80.6665878295898, 116.331588745117,
> > 54.8475151062012, 54.8475151062012, 54.8475151062012, 54.8475151062012,
> > 54.8475151062012, 56.3101806640625, 32.4921531677246, 54.8475151062012,
> > 32.4921531677246, 59.3034172058105, 101.193893432617, 96.5840377807617,
> > 54.2786560058594, 87.1388244628906, 66.1907730102539, 57.205738067627,
> > 55.4114303588867, 55.4114303588867, 80.9288787841797, 63.6008758544922,
> > 150, 30.3404140472412, 30.3404140472412, 19.8318557739258, 104.236854553223,
> > 79.2445755004883, 57.0045547485352, 54.8475151062012, 34.320426940918,
> > 54.8475151062012, 34.320426940918, 34.320426940918, 32.4921531677246,
> > 65.1337509155273, 34.320426940918, 54.8475151062012, 73.6748657226562,
> > 54.8475151062012, 56.3101806640625, 54.8475151062012, 32.4921531677246,
> > 127.726959228516, 27.9528160095215), sys02 = c(18.8571434020996,
> > 303.529418945312, 30.2469139099121, 104.305557250977, 86.4935073852539,
> > 51.25, 83.0927810668945, 453.118286132812, 42.5, 104.305557250977,
> > 48.461540222168, 86.4935073852539, 55.1851844787598, 104.305557250977,
> > 104.305557250977, 185.277770996094, 17.9775276184082, 25.2777786254883,
> > 64, 21.6666660308838, 30, 24.2372875213623, 47.0285720825195,
> > 16.1904754638672, 33.75, 22.5423736572266, 10.2857141494751,
> > 39.230770111084, 6.06741571426392, 1, 28.3255805969238, 21.6000003814697,
> > 69.2592620849609, 86.6666641235352, 48.5185203552246, 44.4186058044434,
> > 48.6538467407227, 437.105255126953, 437.105255126953, 19.1666660308838,
> > 48.461540222168, 437.105255126953, 48.6538467407227, 453.118286132812,
> > 48.6538467407227, 14.2857141494751, 453.118286132812, 453.118286132812,
> > 95.2380981445312, 63), se025 = c(163.529998779297, 2.70000004768372,
> > 157, 5.5, 6.30000019073486, 36.0200004577637, 86, 5.09999990463257,
> > 6.40000009536743, 6, 8.69999980926514, 4, 6.30000019073486, 5.80000019073486,
> > 8.80000019073486, 2, 118.809997558594, 44.1100006103516, 16.7000007629395,
> > 34, 73.4000015258789, 73.0800018310547, 134.880004882812, 31.0200004577637,
> > 20.0300006866455, 94.7200012207031, 40, 5.5, 16.5, 15, 26.8700008392334,
> > 59.4199981689453, 13, 5.19999980926514, 6.80000019073486, 15.6999998092651,
> > 10.8999996185303, 5.30000019073486, 4.59999990463257, 29.3999996185303,
> > 23.2999992370605, 4.90000009536743, 13.3999996185303, 2.34999990463257,
> > 8.5, 24.8700008392334, 4.19999980926514, 1.39999997615814, 34.7799987792969,
> > 6.69999980926514)), .Names = c("LnALVperHA", "ps1", "ps2", "ps3",
> > "ps4", "ts1", "ts2", "ts3", "ts4", "ps1sq", "ps2sq", "ps3sq",
> > "ps4sq", "ts1sq", "ts2sq", "ts3sq", "ts4sq", "pdnsty", "portsML",
> > "cities500k", "rentedland", "subsidies1", "elevmean", "elevrange",
> > "t_gravel", "t_ph_h2o", "t_silt", "t_sand", "AT", "BE", "DE",
> > "DK", "ES", "FI", "FR", "GR", "IE", "IT", "LU", "NL", "PT", "SE",
> > "WDE", "EDE", "UK", "CY", "BG", "CZ", "EE", "HU", "LT", "LV",
> > "PL", "RO", "SI", "SK", "b48", "b50", "irrigation", "awc_class",
> > "sys02", "se025"), row.names = c("2", "3", "4", "5", "6", "7",
> > "8", "11", "12", "13", "14", "15", "16", "17", "18", "19", "20",
> > "21", "22", "23", "24", "25", "26", "27", "28", "29", "30", "31",
> > "32", "33", "34", "35", "36", "37", "38", "39", "40", "41", "42",
> > "43", "44", "45", "46", "47", "48", "49", "50", "51", "52", "53"
> > ), class = "data.frame")
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> >
> > 2015-08-14 14:58 GMT+02:00 PIKAL Petr <petr.pikal at precheza.cz>:
> >>
> >> Hi Janka
> >>
> >>
> >>
> >> Sorry, but we are limited in connecting to web services so I am not able to restore your data and see your code. Result of dput(somedata) coppied to email is preferable for sharing data and code can be copied to email too. But do not use HTML as it usually scrambles text.
> >>
> >>
> >>
> >> Answer in line
> >>
> >>
> >>
> >> From: Janka Vanschoenwinkel [mailto:janka.vanschoenwinkel at uhasselt.be]
> >> Sent: Friday, August 14, 2015 2:17 PM
> >> To: Thierry Onkelinx; PIKAL Petr
> >> Cc: r-help at r-project.org
> >> Subject: Re: [R] cut variable within a loop
> >>
> >>
> >>
> >> Hi Thierry and Petr,
> >>
> >>
> >>
> >> I really appreciate the comments you already gave. Thank you very much for that.
> >>
> >>
> >>
> >> Below you can find a link to the data and the code. Hopefully this helps in spotting the error.
> >>
> >>
> >>
> >> I still think the issue is that the cut2 function only accepts numbers, and not an "i" that refers to the number at the start of the loop. To answer Petr his question, yes, column 3 and 4 are NA (these are the columns of the second interval). But I don't really understand your point so could you clarify this please?
> >>
> >>
> >>
> >> If you use NA as a number of intervals you will get such errors
> >>
> >>
> >>
> >> k<-c(2,4,NA,5)
> >>
> >> ii<-vector(4, mode="list")
> >>
> >> for (i in 1:4) {
> >>
> >> ii[[i]] <- cut2(iris[,i], k[i])
> >>
> >> }
> >>
> >> Error in if (r[1] < cuts[1]) cuts <- c(r[1], cuts) :
> >>
> >> missing value where TRUE/FALSE needed
> >>
> >> for (i in 1:4) {
> >>
> >> ii[[i]] <- cut(iris[,i], k[i])
> >>
> >> }
> >>
> >> Error in cut.default(iris[, i], k[i]) : invalid number of intervals
> >>
> >>
> >>
> >> If you remove NA from k definition error is gone.
> >>
> >> k<-c(2,4,3,5)
> >>
> >> ii<-vector(4, mode="list")
> >>
> >>
> >>
> >> for (i in 1:4) {
> >>
> >> ii[[i]] <- cut(iris[,i], k[i])
> >>
> >> }
> >>
> >>
> >>
> >> You can try it yourself. The error is not related to cycle; whenever number of intervals in cut call is NA you always get an error.
> >>
> >>
> >>
> >> Cheers
> >>
> >> Petr
> >>
> >>
> >>
> >> https://drive.google.com/folderview?id=0By9u5m3kxn9yfkxxeVNMdnRQQXhoT05CRlJlZVBCWWF2NURMMTNmVFVFeXJXXzhlMWE4SUk&usp=sharing
> >>
> >>
> >>
> >> Thank you very much once again!
> >>
> >>
> >>
> >> Janka
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >> 2015-08-11 15:10 GMT+02:00 Thierry Onkelinx <thierry.onkelinx at inbo.be>:
> >>
> >> You'll need to send a reproducible example of the code. We can't run the code that you send. Hence it is hard to help you. See e.g. http://adv-r.had.co.nz/Reproducibility.html
> >>
> >>
> >> ir. Thierry Onkelinx
> >> Instituut voor natuur- en bosonderzoek / Research Institute for Nature and Forest
> >> team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance
> >> Kliniekstraat 25
> >> 1070 Anderlecht
> >> Belgium
> >>
> >> To call in the statistician after the experiment is done may be no more than asking him to perform a post-mortem examination: he may be able to say what the experiment died of. ~ Sir Ronald Aylmer Fisher
> >> The plural of anecdote is not data. ~ Roger Brinner
> >> The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data. ~ John Tukey
> >>
> >>
> >>
> >> 2015-08-11 14:57 GMT+02:00 Janka Vanschoenwinkel <janka.vanschoenwinkel at uhasselt.be>:
> >>
> >> Hi Thierry!
> >>
> >>
> >>
> >> Thanks for your answer. I tried this, but I get this error:
> >>
> >>
> >>
> >> "Error in cut.default(x, k2) : invalid number of intervals"
> >>
> >>
> >>
> >> Which is strange because I am not specifying intervals, but the number at where the sample has to be cut?
> >>
> >>
> >>
> >> Greetings from Belgium! :-)
> >>
> >>
> >>
> >> 2015-08-11 14:52 GMT+02:00 Thierry Onkelinx <thierry.onkelinx at inbo.be>:
> >>
> >> Dear Janka,
> >>
> >>
> >>
> >> You loop goes for 0 to 100. It should probably go from 1:99
> >>
> >>
> >>
> >> Best regards,
> >>
> >>
> >> ir. Thierry Onkelinx
> >> Instituut voor natuur- en bosonderzoek / Research Institute for Nature and Forest
> >> team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance
> >> Kliniekstraat 25
> >> 1070 Anderlecht
> >> Belgium
> >>
> >> To call in the statistician after the experiment is done may be no more than asking him to perform a post-mortem examination: he may be able to say what the experiment died of. ~ Sir Ronald Aylmer Fisher
> >> The plural of anecdote is not data. ~ Roger Brinner
> >> The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data. ~ John Tukey
> >>
> >>
> >>
> >> 2015-08-11 14:38 GMT+02:00 Janka Vanschoenwinkel <janka.vanschoenwinkel at uhasselt.be>:
> >>
> >> Dear list members,
> >>
> >> I have a loop where I want to do several calculations for different samples
> >> and save the results for each sample. These samples are for each loop
> >> different. I want to use the "i" in the loop to cut the samples.
> >>
> >> So for instance:
> >>
> >> - In loop 1 (i=1), I have a sample from 0-1 and a sample from 1-100.
> >> - In loop 2 (i=2), I have a sample from 0-2 and a sample from 2-100.
> >> - In loop 99 (i=99), I have a sample from 0-99 and a sample from 99-100.
> >>
> >> I built the following function, but there is *a problem with the cut2
> >> function* since it doesn't recognize the "i". Outside the lapply loop it
> >> works, but not inside the loop.
> >>
> >> Could somebody please help me with this problem? Thanks a lot!
> >>
> >>
> >> d=data.frame(MEt_Rainfed=rep(0,100),MEp_Rainfed=rep(0,100),MEt_Irrigation=rep(0,100),MEp_Irrigation=rep(0,100))
> >>
> >>
> >>
> >> o<-lapply(0:100, function(i){
> >>
> >>
> >>
> >> Alldata$irri=cut2(Alldata$irrigation,i)
> >>
> >> levels(Alldata$irri)<-c("0","1")
> >>
> >>
> >>
> >> Alldata_Rainfed<-subset(Alldata, irri == 0)
> >>
> >> Alldata_Irrigation<-subset(Alldata, irri == 1)
> >>
> >>
> >>
> >> #calculations per sample, then store all the values per i and per
> >> variable in a dataframe: (the calculations are not shown in this example)
> >>
> >>
> >>
> >> d[i, ] = c(MEt_Rainfed,MEp_Rainfed,MEt_Irrigation,MEp_Irrigation)
> >>
> >>
> >>
> >> })
> >>
> >>
> >>
> >> out<-as.data.frame(do.call(rbind, o))
> >>
> >>
> >> --
> >> P Please consider the environment before printing this e-mail
> >>
> >> [[alternative HTML version deleted]]
> >>
> >> ______________________________________________
> >> R-help at 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.
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >> --
> >>
> >>
> >>
> >> Mevrouw Janka Vanschoenwinkel
> >> Doctoraatsbursaal - PhD
> >> Milieueconomie - Environmental economics
> >>
> >> T +32(0)11 26 87 42 | GSM +32(0)476 28 21 40
> >>
> >> www.uhasselt.be/eec
> >>
> >> Universiteit Hasselt | Campus Diepenbeek
> >> Agoralaan Gebouw D | B-3590 Diepenbeek
> >> Kantoor F11
> >>
> >> Postadres: Universiteit Hasselt | Martelarenlaan 42 | B-3500 Hasselt
> >>
> >> P Please consider the environment before printing this e-mail
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >>
> >> --
> >>
> >>
> >>
> >> Mevrouw Janka Vanschoenwinkel
> >> Doctoraatsbursaal - PhD
> >> Milieueconomie - Environmental economics
> >>
> >> T +32(0)11 26 87 42 | GSM +32(0)476 28 21 40
> >>
> >> www.uhasselt.be/eec
> >>
> >> Universiteit Hasselt | Campus Diepenbeek
> >> Agoralaan Gebouw D | B-3590 Diepenbeek
> >> Kantoor F11
> >>
> >> Postadres: Universiteit Hasselt | Martelarenlaan 42 | B-3500 Hasselt
> >>
> >> P Please consider the environment before printing this e-mail
> >>
> >>
> >>
> >>
> >> ________________________________
> >> Tento e-mail a jak?koliv k n?mu p?ipojen? dokumenty jsou d?v?rn? a jsou ur?eny pouze jeho adres?t?m.
> >> Jestli?e jste obdr?el(a) tento e-mail omylem, informujte laskav? neprodlen? jeho odes?latele. Obsah tohoto emailu i s p??lohami a jeho kopie vyma?te ze sv?ho syst?mu.
> >> Nejste-li zam??len?m adres?tem tohoto emailu, nejste opr?vn?ni tento email jakkoliv u??vat, roz?i?ovat, kop?rovat ?i zve?ej?ovat.
> >> Odes?latel e-mailu neodpov?d? za eventu?ln? ?kodu zp?sobenou modifikacemi ?i zpo?d?n?m p?enosu e-mailu.
> >>
> >> V p??pad?, ?e je tento e-mail sou??st? obchodn?ho jedn?n?:
> >> - vyhrazuje si odes?latel pr?vo ukon?it kdykoliv jedn?n? o uzav?en? smlouvy, a to z jak?hokoliv d?vodu i bez uveden? d?vodu.
> >> - a obsahuje-li nab?dku, je adres?t opr?vn?n nab?dku bezodkladn? p?ijmout; Odes?latel tohoto e-mailu (nab?dky) vylu?uje p?ijet? nab?dky ze strany p??jemce s dodatkem ?i odchylkou.
> >> - trv? odes?latel na tom, ?e p??slu?n? smlouva je uzav?ena teprve v?slovn?m dosa?en?m shody na v?ech jej?ch n?le?itostech.
> >> - odes?latel tohoto emailu informuje, ?e nen? opr?vn?n uzav?rat za spole?nost ??dn? smlouvy s v?jimkou p??pad?, kdy k tomu byl p?semn? zmocn?n nebo p?semn? pov??en a takov? pov??en? nebo pln? moc byly adres?tovi tohoto emailu p??padn? osob?, kterou adres?t zastupuje, p?edlo?eny nebo jejich existence je adres?tovi ?i osob? j?m zastoupen? zn?m?.
> >>
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> >
> >
> >
> >
> > --
> >
> > Mevrouw Janka Vanschoenwinkel
> > Doctoraatsbursaal - PhD
> > Milieueconomie - Environmental economics
> >
> > T +32(0)11 26 87 42 | GSM +32(0)476 28 21 40
> >
> > www.uhasselt.be/eec
> >
> > Universiteit Hasselt | Campus Diepenbeek
> > Agoralaan Gebouw D | B-3590 Diepenbeek
> > Kantoor F11
> >
> > Postadres: Universiteit Hasselt | Martelarenlaan 42 | B-3500 Hasselt
> >
> > P Please consider the environment before printing this e-mail
> >
> > ______________________________________________
> > R-help at 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.
>
> David Winsemius
> Alameda, CA, USA
>
>
>
>
> --
>
> Mevrouw Janka Vanschoenwinkel
> Doctoraatsbursaal - PhD
> Milieueconomie - Environmental economics
>
> T +32(0)11 26 87 42 | GSM +32(0)476 28 21 40
>
> www.uhasselt.be/eec
>
> Universiteit Hasselt | Campus Diepenbeek
> Agoralaan Gebouw D | B-3590 Diepenbeek
> Kantoor F11
>
> Postadres: Universiteit Hasselt | Martelarenlaan 42 | B-3500 Hasselt
>
> P Please consider the environment before printing this e-mail
>
David Winsemius
Alameda, CA, USA