similar to: converting to data.frame

Dear all I am trying to learn R I was trying to calculate standard deviation here are the commands and outputs in R > sd(Ht_cm[type=='SD'])[1] 3.283605> sd(Ht_cm[from_treeline=='above'])[1] 16.83289> sd(Ht_cm[type=='SD'][from_treeline=='above'])[1] NA> the problem is that, i could not understand why the third command could not give any result.

dear all i am trying to perform t-test (t.test) in R here i am putting the commands and answer i got > t.test(Ht_cm[from_treeline=='above'][type=='SD'],Ht_cm[from_treeline=='below'][type=='SD']) Welch Two Sample t-test data: Ht_cm[from_treeline == "above"][type == "SD"] and Ht_cm[from_treeline == "below"][type ==

Respected all, I am working on a socio-economic survey (named as National Sample Survey in India provided by National Sample Survey Organization, Govt. of India) data of individual as well as households. This is a sample survey where stratified random sapling method has been used to draw samples. The data set uses 'weights' to estimate figures for region, state or

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I don't know R absolutely, but I have to do this work for my diploma. So I'm sorry for strange message below. Please, help me anybody decides this issue. If you need any information, I'll show you all what you need. **error**:<br> > #save > #csv >file.create("C:\\Users\\Sapl\\Desktop\\NATA\\code\\Results\\Created by R\\ab_ret_banks_short_form_10.05.2006.csv")

Dear all I am learning R I am doing Z-test with package 'BSDA' here is my syntax and result: > sdgr.ztest<-z.test(growth[type=='SD'& from_treeline=='above'], + growth[type=='SD'& from_treeline=='below'],alternative = "two.sided", + mu = 0, sigma.x =(sd(growth[type=='SD'& from_treeline=='above'],na.rm = T)), +

HI, can somebody tell me how and where must I put the SIP register line? I think is in [general] section of the sip.conf and that I have to put: register => user:password@host:port/localextension but, user and password of the SIP gateway? Because I'm trying this and doesn't work... thanks a lot in advanced michelle ----- Tu cuenta de correo gratuita Mixmail con Antivirus y Antispam

Hi Biswajit Kar, Take a look at this CRAN Task: https://cran.r-project.org/web/views/OfficialStatistics.html Also, I've been re-writing functions of package "ineq" so that they accept weights. I can provide those if you find them useful. Finally, there are a bunch of packages in CRAN that provide plottings using weights (e.g. "weights", "Hmisc",

Hi, I have Article model and it has aasm_column qa, that is initially "pending". In order to get it reset qa column on new versions, I have made: def set_new_version write_attribute(:qa, "pending") end But now the aasm methods are also triggering the new version, dispite: self.non_versioned_columns << ''updated_at''