data-management

NSCoding VS Core data

女生的网名这么多〃 提交于 2019-11-27 00:22:57
问题 I've been searching for an article that explains NSCoding (NSKeyedArchiver...) advantages and disadvantages over use of CoreData (SQLite....). There's a lot of options, I can implement my own custom binary reader/writer, or use plists/xml/json... or use SQLite or NSCoding. I'm kind of lost right now. Can any body explain what's the difference between the MAIN features? 回答1: It depends which kind of data you want to save and whether you will use it only internally or you have to exchange the

Read a CSV from github into R

自作多情 提交于 2019-11-26 22:10:17
I am trying to read a CSV from github into R: latent.growth.data <- read.csv("https://github.com/aronlindberg/latent_growth_classes/blob/master/LGC_data.csv") However, this gives me: Error in file(file, "rt") : cannot open the connection In addition: Warning message: In file(file, "rt") : unsupported URL scheme I tried ?read.csv , ?download.file , getURL (which only returned strange HTML), as well as the data import manual , but still cannot understand how to make it work. What am I doing wrong? Try this: library(RCurl) x <- getURL("https://raw.github.com/aronlindberg/latent_growth_classes

How to create, structure, maintain and update data codebooks in R?

被刻印的时光 ゝ 提交于 2019-11-26 18:57:08
问题 In the interest of replication I like to keep a codebook with meta data for each data frame. A data codebook is: a written or computerized list that provides a clear and comprehensive description of the variables that will be included in the database. Marczyk et al (2010) I like to document the following attributes of a variable: name description (label, format, scale, etc) source (e.g. World bank) source media (url and date accessed, CD and ISBN, or whatever) file name of the source data on

Read a CSV from github into R

生来就可爱ヽ(ⅴ<●) 提交于 2019-11-26 08:09:20
问题 I am trying to read a CSV from github into R: latent.growth.data <- read.csv(\"https://github.com/aronlindberg/latent_growth_classes/blob/master/LGC_data.csv\") However, this gives me: Error in file(file, \"rt\") : cannot open the connection In addition: Warning message: In file(file, \"rt\") : unsupported URL scheme I tried ?read.csv , ?download.file , getURL (which only returned strange HTML), as well as the data import manual, but still cannot understand how to make it work. What am I