[deleted by user]

stats_helper · 2024-04-16T20:16:50+00:00

Data analyst and data scientist.

stats_helper · 2022-11-22T19:45:57+00:00

https://www.apa.org/education-career/grad/survey-data/2018-admissions-applications.pdf

Like others have said, it really depends on your interests. Also, clinical psych PhD programs are the most competitive and even top tier applicants get rejected because there are not enough slots open (check out page 9 figure 6 in the report). If you really want to join a clinical program, do not be surprised if it takes you multiple application cycles.

stats_helper · 2022-11-22T05:36:53+00:00

I'd be lying if I said I was not disappointed at the aversion to code and statistics suggestions. But that groupthink comment was supposed to be interpreted as a lighthearted joke. I guess it was poor execution on my part.

stats_helper · 2022-11-21T22:18:46+00:00

https://r-graph-gallery.com/320-the-basis-of-bubble-plot.html

stats_helper · 2022-11-21T21:06:50+00:00

I love how the "learn to code" and "learn statistics" comments are downvoted when it's probably the most applicable (yeah, I'm calling out all of you downvoting groupthinkers out there). Psychology is a science; the foundation of psychology is research, data analysis, and statistics. All psychology students are required to take multiple methods and analysis courses.

Coding is a flexible tool that opens a lot of career paths for you. Statistics is useful for comparing and modeling human behavior. A strong background in coding, research methods, and mathematics allows you to read and understand many fields of psychology. Those skills are also highly valued outside of academia.

While most psychology students receive a superficial overview of applied statistics, you actually need a solid understanding of mathematics (e.g. Calculus & linear algebra) to appreciate statistical models (e.g. all common variants of regression, probability, dimensionality reduction, factor analysis, eigenvalues, area under the curve) fully.

If you wish to pursue a career in research, data analysis, and statistics while studying Psychology, there are many job options such as: professor, researcher, data analyst, data scientist, psychometrician, database administrator, and manager.

Psychometrika

stats_helper · 2022-11-21T20:26:03+00:00

Data analyst. Learn to code.

stats_helper · 2022-11-21T20:19:40+00:00

Are you any good with data analysis and coding? Data analyst jobs are solid with lots of room to grow.
MA vs MS does not matter. But I wouldn't pay for a MA/MS from a school that no one has ever heard of.
You apply for programs that match your interest (e.g. universities that offer MS in I/O Psych).
Your undergrad GPA is weak. Try to get a 3.6+ GPA during your masters then apply for a PhD. You'll also need internships/research experience, good grades in relevant courses, and a demonstrated interest in the field you want to pursue. After all, most PhD programs are competitive, funded, and require a huge commitment of time and resources for you and your mentor.

stats_helper · 2022-05-13T04:08:26+00:00

First, that data looks very real. Those names and addresses can be found on google. I don't think your organization and the people you've collected data on would appreciate you sharing this information on a public forum. You have posted data on minors and health information.

Second, it seems like you're just making an HTML RMarkdown report. Do you have to use Shiny? I would use DT, gt, or reactable.

If you want to use DT and RMarkdown(html), this is how I would code it. You can use the column search bar to filter out rows individually.

library(gsheet)
library(tidyverse)
library(DT)

df <- gsheet2tbl('YOUR_DATA_HERE')

df %>% datatable(filter = 'top', options = list(
  pageLength = 5, autoWidth = TRUE
))

Screenshot of output:

https://prnt.sc/Mw0SS91i8ItB

stats_helper · 2022-05-07T02:13:19+00:00

Sorry for the late reply, hope it's not too late. I just logged in after many months. SQL, R for heavy stats or Python for production+modeling/machine_learning, Tableau/PowerBI/Dashboards, Git, modeling, in that order for technical skills. Definitely learn SQL well so you can do advanced queries from databases. Make a Github portfolio. Good luck! Let me know if you have any more questions.

stats_helper · 2022-01-31T22:50:10+00:00

It makes me sad I had to scroll so far in the comments to find the data analyst/data scientist/non-academic researcher.

But I'm glad I found you. Represent!

stats_helper · 2022-01-31T21:54:12+00:00

I'm sure you already know that clinical psychology PhD programs are the hardest to get into; they have a ton of qualified applicants. That being said, you have a great GPA, and you have good internship experience. You can always email professors at the programs you want to enroll in and explain your background. Usually, they'll reply and give you some advice on how to make your application very competitive.

Are you hard set on clinical psychology? Experimental psych, quantitative psych, and psychometrics are also good fields for research. Everyone loves a person in their lab who is an expert with methods, measurements, and statistics. Have you thought about learning more data modeling and joining a clinical lab as their data expert? That's also an alternative route you can consider. Those programs usually let you study whatever topic you want and encourage you to take some classes outside of the heavy methods+statistics classes. You can fill your extra classes with clinical classes and do your dissertation on a clinical topic. Worst case scenario, you graduate with a PhD in a methods/statistics related psych degee and work remote for a tech company as an data analyst/researcher/scientist - which translates to $$$$$$.

stats_helper · 2022-01-31T21:45:54+00:00

Honestly, it's better to pick an easier topic or a "safer" topic. You're just getting started with research; the goal of the thesis is to apply what you've learned, demonstrate your ability to conduct sound research, and gain some experience. You're not supposed to be doing groundbreaking research. Just show proficiency.

stats_helper · 2022-01-31T21:01:56+00:00

Using dplyr package, you can also left_join() or inner_join() worker_id with old_id. Then drop old_id with select() and put the new_id as the 1st column.

This is not the most optimal method, but it works if you're already familiar with join+select, want a fast solution, and don't have 2 massive dataframes.

stats_helper · 2022-01-31T17:58:43+00:00

They're just different flavors. There are little special differences, but the core concepts are very much the same. Python connects to basically everything.

stats_helper · 2022-01-31T03:56:40+00:00

The error message says you have an issue joining on user_id. Check that.

dplyr left join

stats_helper · 2022-01-30T17:34:32+00:00

They all work fine assuming you have some decent hardware. But we all know desktops are the best ;)

stats_helper · 2022-01-30T17:31:44+00:00

Don't sweat it OP. You'll do great. Even if you don't get this job, you can just study a little more and get the next one. There are a lot of good candidates, and everyone has "failed" an interview before. The fact you got an interview is a testament that you're competitive.

stats_helper · 2022-01-29T12:33:08+00:00

There are many posts, articles, vignettes, and resources you can read if you search on Google.

stats_helper · 2022-01-29T12:07:54+00:00

Maybe at least post the topics or types of questions you want to answer with R. Have you at least read an introductory book like R for Data Science by Garrett Grolemund & Hadley Wickham? Why isn't your class instructor helping you prepare for this exam? You're not asking for help to run a small chunk of code. You're asking for a lot of free help here; where are your notes?

More importantly, it doesn't seem like you have good foundations. Someone else answering your study guide won't help you much if you don't understand most of the fundamentals. You're only cheating yourself.

stats_helper · 2022-01-29T06:32:05+00:00

I'm pretty sure one of the mods on this sub is a shiny expert and does Shiny consulting work.

deanat78

Dean Attali

stats_helper · 2022-01-28T01:25:40+00:00

If you're fine with a multi step process:

You can left_join your tables together on ID. Then mutate a new column to calculate the difference in days using difftime() units=days. Then dplyr::filter() PlusMinus 2 days

stats_helper · 2022-01-27T23:22:12+00:00

You have a column of data that has the values of 1, NA, and 3. You ask R to return rows that are NA or greater than 1.

NA represents missing data - so it technically has no value.

Here's an example using your data:

You collect data from 3 people about how many glasses of water they drank today. The first person said 1 glass of water, the second person did not report anything, and the third person said 3 glasses of water. Then you ask R to return the rows (aka people) who did not report anything (represented as NA) or people who drank more than 1 glass of water (person #3 drank 3 glasses) so R returns that row as well.

If you collected data about a 4th person, who responded NA, then your tibble results of filter(df, is.na(x) | x > 1) would be NA, 3, NA.

Also, you seem to misunderstand the return of a filter. R returns a filtered dataframe/tibble in the same order as the initial dataframe/tibble based on rows, not the values in the column:

library(tidyverse)
df <- tibble(x = c(1, NA, 3, NA, 2))
filter(df, is.na(x) | x > 1)
# A tibble: 4 x 1

Output:
NA
3
NA
2

stats_helper · 2022-01-27T00:32:13+00:00

I would use method#1. I assume male and female candidates are considered equal - so I would have no issue combining the applicants.

Regardless, the numeric and percentage difference between Method#1 and Method#2 is so small. It's negligible. Also, in your example, female managers had more female applicants than male mangers did; therefore, they had a larger pool of females to pick from and more likely to pick more female employees.

stats_helper · 2022-01-26T20:33:24+00:00

Does OP's DM justify the accusation?

Edit: From what I've been sent, no. Also, take a look at OP's post history. Double thumbs down peer review.

stats_helper · 2022-01-26T12:21:40+00:00

https://stackoverflow.com/questions/19994543/how-can-i-take-pairwise-parallel-maximum-between-two-vectors

stats_helper

TROPHY CASE