Pca Puns

Hey everyone,

I remember being taught that when using pca in a regression, you can no longer draw conclusions about the effects of the original variables. This article, however, seems to show a way of at least approximating this. Would it be accurate to say that at least a degree of drawing conclusions about the relevance of original IVs on the DV is still possible when the principal components and their coefficients are examined?

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Hello there,

As GCP has revised the version of Professional Certified Architect exam, now the case studies have changed as well. Following are the new ones,

• EHR Healthcare
• Helicopter Racing League
• Mountkirk Games
• TerramEarth

While Mountkirk and TerramEarth were previously there as well, the problem statement has completely changed. If anyone has come across any solutions to these new case studies, please share. If someone wants to give them a try and suggest own solution, those are welcome as well.

Thank you.

I’m currently a nursing student and have been a nursing assistant on a pedi unit for about 4 months. I work a few shifts a week and I have definitely been getting better at my job as time goes on, but I sometimes still feel like I’m not good enough. For example, I get so busy at times that I might forget to tell the nurse that patient A wanted xyz and then I don’t remember until I’m home. It’s usually something super small or something the nurse wouldn’t be able to do much about anyways, but I always feel bad and don’t want to come off as forgetful or as not caring because I love my patients and their families.

The other day I felt like a complete idiot because I was the only NA on night shift and had taken a child’s temp who had been running on the higher side all day. It was just over 100F (not much of a change from before) but I still like to report any abnormal values to the nurses immediately. Well, when I went to look for the nurse I couldn’t find her anywhere and then I got pulled into an admission and ended up being in there for over 30 minutes. By the time I was able to find the nurse after to report the low grade fever, it had been a good 40 minutes. The nurse was really nice about it and didn’t make it seem like it was a big deal, but I still felt neglectful. Obviously if the fever wasn’t low grade or was a new finding I would’ve made sure to seek her out immediately. Was this really negligent on my part? I would never wait to report a dangerous value or something to do with HR, RR or O2. Im normally overly cautious if anything is remotely out of range to report it, but this just slipped my mind because I was so busy.

Also, what are some other things that make PCAs/NAs super helpful vs seemingly lazy? I’d love any input. I’m really trying to make the most of this experience!

What’s your reason?

I was wondering if it is possible to work as an uncertified patient care technician (PCT) or patient care assistant (PCA) in a hospital? Has anyone had any experienced where this has occurred to them?

Hello everyone,

I have run a PCA in Stata with 4 components. Of these 4 components, only the first 2 have eigenvalues > 1 and their cumulative variance explained is 0.72.

I want to create an index using these two components, but I am not sure how to determine their weights.

I was thinking of weighing each component by the variance explained, so that Index = PC1*(0.52/0.72) + PC2*(0.20/0.72).

Is it correct? Are there more precise ways to weight the principal components?

EDIT: do I have to “rotate the components”? I didn’t understand what this procedure implies.

I have a DataFrame df_a which has 22 44 rows of data. If I apply this pipeline to it:

pipeline = Pipeline([('scaler', StandardScaler()),
		     ('PCA', PCA(n_components=30)),
		     ('SVC', SVC(gamma='auto'))])
cv_result = cross_val_score(pipeline, df_a, y_a, cv=3)
print(cv_result)

I get this error:

ValueError: n_components=30 must be between 0 and min(n_samples, n_features)=29 with svd_solver='full'

I get the same error even when using svd_solver='auto' in PCA(). But if I call every step of the pipeline on its own, like this:

scaler = StandardScaler()
pca = PCA(n_components=30, svd_solver='full')
clf = SVC(gamma="auto")

scaler.fit_transform(df_a)
pca.fit_transform(df_a)

Hi, am currently a caregiver for homecare in Arizona. I am attending college to obtain my CNA certification and then go for my RN. I really want to work as a CNA called PCA in a hospital first. I want to know how much CNA's (PCA) make an hour at the hospital. Am currently making 13 an hour as a caregiver. What do you recommend me to do. Thanks.

(hope this is OK mods)

I don't really know what I'm doing, but I recorded this version when we got the news that she was getting near the end. I suppose working on this is how I dealt with it all, as best I could. Anyway, take care, everyone.

https://soundcloud.app.goo.gl/SW8uF

Hello, I am trying to calculate the angle between two pool noodles. I have settled on using Principal Component Analysis where the orientation of each of the black and white stripes is detected. I get a result similar to this. However, the orientations will flip halfway through moving the noodles from 0 to about 120 degrees. I am able to get an angle between 0 and 90 degrees but anything past 90 degrees results in (180 - angle). Is there any way to make it so orientations always point away from the joint? Or, is there an easier way to do this altogether? The accuracy should be within about 1 degree.

I'm currently working at one location for my current assignment and it has been told to me that there is a possibility of me getting moved to a different location of the same assignment that is about 20 miles away with a drive time of between 40-60 minutes depending on traffic. If I got PCA orders there can that be used to break my current rental to move to a place closer to the new work location?

Hi everyone,

I have a dataset with 40 rows and 20 numerical variables, including one variable with only negative numbers. Some variables contain outliers. I have already done a PCA, but I recently found out that a PCA is sensitive to outliers. The PCA is for explorative purposes, to visualize associations between my variables.

I found there to be two options: NMDS instead of PCA or transforming my data. I don't want to remove any outliers, because they are not "unexpected", so to say.

If I were to transform my data, how would I go about this? I have used stack exchange as a source, but some of the explanations are very math-heavy and I get lost easily. Anyone with tips and "easier" sources would be kindly appreciated.

If you guys can't fix and/or don"t have time to work on the stuck at sign in bug, PLEASE FOR THE LOVE OF GOD disable the intro animation. That "wait 10 minutes" thing still doesnt work for alot of players and i just want to murder every bird i see now. Sincerely, most ps4/ps5 users still playing this.

Im going through StatQuest videos on youtube and am a bit confused about what PCs mean.

One video differentiates the PCs according to the genes. So the PC accounting for the highest variation tells us the gene responsible for the most variation between samples.

In another video (PCA in R) the PCs are chosen based on the samples (10 samples 10 PCs instead of 100 PCs for the 100 genes).

Can anyone explain the distinction here? THis is the video https://www.youtube.com/watch?v=0Jp4gsfOLMs&list=PLblh5JKOoLUJo2Q6xK4tZElbIvAACEykp&index=4

going over PCA and using PCs by sample rather than gene.

I have applied to be a PCT over the summer but I'd like to continue throughout fall and spring semesters too. Any tips on how to maintain that work schedule while also in nursing school?? (Also, I'd appreciate just PCT tips in general as I've never worked in a hospital/medical setting before) thanks!

I'm a 2nd semester junior in Arkansas, and was recently offered a job as a PCA working PRN in med-surg / float. I had initially applied for a student nurse intern position, but turns out the hospital has no slots opening up that I could fill, so this was their offer instead. Will this job offer me meaningful experience that will help me learn nursing skills and boost my resume for after I get my RN?

I’m not sure if this is the right group. But I want to see if any statisticians or data experts can help with my issue. I ran a survey about how users can earn trust with a company. I had about 800 respondents, and each respondent was asked to evaluate 36 of 72 trust sentiments at random. How can I run a factor analysis of the 72 sentiments without having to impute the missing data?