Rimage

10 Dec 18
Market Research Reports

A new research Titled “Global Inkjet Disc Printers Market Market 2018- Detail Analysis Report” provides the Professional and In-depth evaluation of the scope of current and destiny marketplace and review of Item Specification, advertise drift , item type and creation examination considering central point, for example, Facts and figure, income produced from the offers of this Report, […]

07 Dec 18
R-bloggers

Bayesian nonparametrics in NIMBLE: Nonparametric random effects Overview NIMBLE is a hierarchical modeling package that uses nearly the same language for model specification as the popular MCMC packages WinBUGS, OpenBUGS and JAGS, while making the modeling language extensible — you can add distributions and functions — and also allowing customization of the algorithms used to […]

05 Dec 18
market reaserch

“Cd Printer Market Overview: Summary:Excellence consistency maintains by Garner Insights in Research Report in which studies the global Cd Printer market status and forecast, categorizes and Equipment market value by manufacturers, type, application, and region. Get Access to Report Sample: https://www.garnerinsights.com/Global-Cd-Printer-Industry-Market-Research-Report#request-sample The research report titled, Cd Printer market has adopted a systematic way to evaluate […]

04 Dec 18
R-bloggers

Bayesian Nonparametric Models in NIMBLE, Part 1: Density Estimation Bayesian nonparametrics in NIMBLE: Density estimation Overview NIMBLE is a hierarchical modeling package that uses nearly the same language for model specification as the popular MCMC packages WinBUGS, OpenBUGS and JAGS, while making the modeling language extensible — you can add distributions and functions — and […]

30 Nov 18
DVD Cases, CD Jewel Cases, Paper Sleeves

Manufacturer Part No. (MPN): TCDR-WPT-SKCapacity : 80MIN/700MBSpeed : Write supported up to 52XSurface : White Thermal Printable Surface (Hub Printable)Features : Wrapped in plastic film to prevent static and media stickingCompatible with Rimage Prism and Everest PrintersPackaging : 100 pcs/pack in tape wrap

29 Nov 18
DVD Cases, CD Jewel Cases, Paper Sleeves

Manufacturer Part No. (MPN): TCDR-WPT-SKCapacity : 80MIN/700MBSpeed : Write supported up to 52XSurface : White Thermal Printable Surface (Hub Printable)Features : Wrapped in plastic film to prevent static and media stickingCompatible with Rimage Prism and Everest PrintersPackaging : 100 pcs/pack in tape wrap

27 Nov 18
DVD Cases, CD Jewel Cases, Paper Sleeves

Manufacturer Part No. (MPN): TCDR-WPT-SKCapacity : 80MIN/700MBSpeed : Write supported up to 52XSurface : White Thermal Printable Surface (Hub Printable)Features : Wrapped in plastic film to prevent static and media stickingCompatible with Rimage Prism and Everest PrintersPackaging : 100 pcs/pack in tape wrap

23 Nov 18
DVD Cases, CD Jewel Cases, Paper Sleeves

Manufacturer Part No. (MPN): TCDR-WPT-SKCapacity : 80MIN/700MBSpeed : Write supported up to 52XSurface : White Thermal Printable Surface (Hub Printable)Features : Wrapped in plastic film to prevent static and media stickingCompatible with Rimage Prism and Everest PrintersPackaging : 100 pcs/pack in tape wrap

22 Nov 18
MarcusVDB MediaBlog

the first thing i tried to do when i opened photoshop was to learn how to cut out an image and put on a background.I started by trying to use the lassou tool.This was not working as the picture would be left with bits of white behind.After continueing my online research i found that the […]

07 Nov 18
DVD Cases, CD Jewel Cases, Paper Sleeves

Manufacturer Part No. (MPN): TCDR-WPT-SKCapacity : 80MIN/700MBSpeed : Write supported up to 52XSurface : White Thermal Printable Surface (Hub Printable)Features : Wrapped in plastic film to prevent static and media stickingCompatible with Rimage Prism and Everest PrintersPackaging : 100 pcs/pack in tape wrap

02 Nov 18
Free Cad Blocks & Drawings Download Center

the V&A has unveiled plans for a pair new sites to be built in london’s queen elizabeth olympic park: a museum designed by o’donnell + tuomey, and a collection and research centre by diller scofidio + renfro. billed as ‘V&A east’, the two buildings are scheduled to open in 2023 as part of ‘east bank’ […]

The post V&A east will include buildings designed by o’donnell + tuomey and DS+R appeared first on Architecture Admirers.

29 Oct 18
DVD Cases, CD Jewel Cases, Paper Sleeves

Manufacturer Part No. (MPN): TCDR-WPT-SKCapacity : 80MIN/700MBSpeed : Write supported up to 52XSurface : White Thermal Printable Surface (Hub Printable)Features : Wrapped in plastic film to prevent static and media stickingCompatible with Rimage Prism and Everest PrintersPackaging : 100 pcs/pack in tape wrap

24 Oct 18
Cart Sales

CD-R 80MIN 700MB 52X White Thermal Hub Printablle 100 pk. For sharp, clear graphics using color thermal printers the preferred choice is Verbatims CD-R white thermal printable. Best for use with color thermal printers including Rimage Everest technology.

24 Oct 18
Cart Sales

50-pack Spindle CD-R 80MIN 700MB 52X Silver Inkjet Printable Discs; High Speed 52X recording speeds; Ideal to burn, create and personalize your disc surface for your own music mix, digital photo album,customize presentations; Archive and back up, up to 80 Minute / 700MB of important data – Superior archival life; Silver reflective printable surface, compatible […]

22 Oct 18
DVD Cases, CD Jewel Cases, Paper Sleeves

Manufacturer Part No. (MPN): TCDR-WPT-SKCapacity : 80MIN/700MBSpeed : Write supported up to 52XSurface : White Thermal Printable Surface (Hub Printable)Features : Wrapped in plastic film to prevent static and media stickingCompatible with Rimage Prism and Everest PrintersPackaging : 100 pcs/pack in tape wrap

14 Oct 18
R-bloggers

Statistics Sunday: Some Psychometrics Tricks in R It’s been a long time since I’ve posted a Statistics Sunday post! Now that I’m moved out of my apartment and into my house, I have a bit more time on my hands, but work has been quite busy. Today, I’m preparing for 2 upcoming standard-setting studies by drawing a sample of items from 2 of our exams. So I thought I’d share what I’m up to in order to pass on some of these new psychometric tricks I’ve learned to help me with this project.

Because I can’t share data from our item banks, I’ll generate a fake dataset to use in my demonstration. For the exams I’m using for my upcoming standard setting, I want to draw a large sample of items, stratified by both item difficulty (so that I have a range of items across the Rasch difficulties) and item domain (the topic from the exam outline that is assessed by that item). Let’s pretend I have an exam with 3 domains, and a bank of 600 items. I can generate that data like this:

domain1 <- data.frame(domain = 1, b = sort(rnorm(200)))
domain2 <- data.frame(domain = 2, b = sort(rnorm(200)))
domain3 <- data.frame(domain = 3, b = sort(rnorm(200)))

The variable domain is the domain label, and b is the item difficulty. I decided to sort that varible within each dataset so I can easily see that it goes across a range of difficulties, both positive and negative.

head(domain1)
##   domain         b
## 1 1 -2.599194
## 2 1 -2.130286
## 3 1 -2.041127
## 4 1 -1.990036
## 5 1 -1.811251
## 6 1 -1.745899
tail(domain1)
##     domain        b
## 195 1 1.934733
## 196 1 1.953235
## 197 1 2.108284
## 198 1 2.357364
## 199 1 2.384353
## 200 1 2.699168

If I desire, I can easily combine these 3 datasets into 1:

item_difficulties <- rbind(domain1, domain2, domain3)

I can also easily visualize my item difficulties, by domain, as a group of histograms using ggplot2:

library(tidyverse)
item_difficulties %>%
ggplot(aes(b)) +
geom_histogram(show.legend = FALSE) +
labs(x = "Item Difficulty", y = "Number of Items") +
facet_wrap(~domain, ncol = 1, scales = "free") +
theme_classic()
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

Now, let’s say I want to draw 100 items from my item bank, and I want them to be stratified by difficulty and by domain. I’d like my sample to range across the potential item difficulties fairly equally, but I want my sample of items to be weighted by the percentages from the exam outline. That is, let’s say I have an outline that says for each exam: 24% of items should come from domain 1, 48% from domain 2, and 28% from domain 3. So I want to draw 24 from domain1, 48 from domain2, and 28 from domain3. Drawing such a random sample is pretty easy, but I also want to make sure I get items that are very easy, very hard, and all the levels in between.

I’ll be honest: I had trouble figuring out the best way to do this with a continuous variable. Instead, I decided to classify items by quartile, then drew an equal number of items from each quartile.

To categorize by quartile, I used the following code:

domain1 <- within(domain1, quartile <- as.integer(cut(b, quantile(b, probs = 0:4/4), include.lowest = TRUE)))

The code uses the quantile command, which you may remember from my post on quantile regression. The nice thing about using quantiles is that I can define that however I wish. So I didn’t have to divide my items into quartiles (groups of 4); I could have divided them up into more or fewer groups as I saw fit. To aid in drawing samples across domains of varying percentages, I’d probably want to pick a quantile that is a common multiple of the domain percentages. In this case, I purposefully designed the outline so that 4 was a common multiple.

To draw my sample, I’ll use the sampling library (which you’ll want to install with install.packages(“sampling”) if you’ve never done so before), and the strata function.

library(sampling)
domain1_samp <- strata(domain1, "quartile", size = rep(6, 4), method = "srswor")

The resulting data frame has 4 variables – the quartile value (since that was used for stratification), the ID_unit (row number from the original dataset), probability of being selected (in this case equal, since I requested equally-sized strata), and stratum number. So I would want to merge my item difficulties into this dataset, as well as any identifiers I have so that I can pull the correct items. (For the time being, we’ll just pretend row number is the identifier, though this is likely not the case for large item banks.)

domain1$ID_unit <- as.numeric(row.names(domain1))
domain1_samp <- domain1_samp %>%
left_join(domain1, by = "ID_unit")
qplot(domain1_samp$b)
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

For my upcoming study, my sampling technique is a bit more nuanced, but this gives a nice starting point and introduction to what I’m doing.