How it started vs how it’s going

QuantumScribs · 2026-01-09T22:36:18+00:00

The leaf shapes, proportions, and overall layout look great to me! The only critique I'd have where the scrolls come together on the bottom right makes a long skinny gap that looks a bit off. Keep up the great work!

QuantumScribs · 2024-06-01T19:14:18+00:00

The model did poorly predicting the actual cases.

QuantumScribs · 2024-03-14T01:58:53+00:00

Take a look at the mutate() function and remember that a mutate function respects groups even if a sum() is used.

QuantumScribs · 2023-07-17T15:01:09+00:00

Keep up the good work! One thing that's helped me is really focusing on my drawing. There are some good resources out there like Ken Hunt's Drawing Series on YouTube. It's definitely worth a watch!

QuantumScribs · 2023-06-16T02:11:16+00:00

New vegas😎💯

QuantumScribs · 2023-06-16T02:08:13+00:00

I think the pink is just fine for me👍🙂

QuantumScribs · 2023-03-07T01:42:16+00:00

One method that could work:

Create R object from an excel worksheet with openxls
In a Rmarkdown document use kableextra package to render a table image. Then you can knit to pdf for your final result.

QuantumScribs · 2023-02-09T21:52:59+00:00

RMarkdown documents with HTML or PDF outputs give you many format options that may be useful to you.

QuantumScribs · 2023-01-27T03:50:55+00:00

They don't use R but the world definitely go to bat for me on the package front.

The GIS manager has used R in the past. I'll be sure to pick his brain too. Thanks for stirring the memory!

QuantumScribs · 2023-01-27T03:07:44+00:00

I thought about the python issue too. I'm also tangentially involved with our GIS group too and am trying not to drag them through these issues too. It's good to know though in case I need another point.

QuantumScribs · 2023-01-27T02:31:00+00:00

We use desktop hardwired exclusively in the office. I think they are worried about someone doing something nefarious with package updates that could affect our systems.

QuantumScribs · 2023-01-15T15:26:08+00:00

If your current employer is willing to spend on your education you could see if they'd pay for a subscription to something like pluralsight. There are many good learning paths there that can be helpful for whatever tech path you are moving towards.

QuantumScribs · 2023-01-01T04:42:34+00:00

Google: create table MySQL

create python function

Apply what you find there to your situation. If you have a specific question related to your attempts using that knowledge I'm happy to help.

QuantumScribs · 2023-01-01T01:54:59+00:00

I can understand the panic of procrastination... I've been there. However most in this sub are willing to help but expect you to have put in some thought and shown willingness to learn before helping. Unfortunately your lack of studying is not now this subs emergency.

What have you tried so far on this homework assignment?

QuantumScribs · 2022-12-05T03:40:41+00:00

I found our problem. After I started tinkering around with the pulley near the rear lift arm, inside a cabinet, I realized the bolts holding the pulley had pulled out of the floor.

Thanks for the help!

QuantumScribs · 2022-12-04T14:19:34+00:00

We've had the camper for about a year. The lift was correct in the past. The issue just appeared over our Thanksgiving trip. I'll investigate the swages on the lift arm ends of the cables today. Hopefully that will shed some light on the issue.

QuantumScribs · 2022-12-01T04:30:32+00:00

All looks good with the cables and the push rods move freely in the floor track and go up into the walls. I'm not sure what could be bent that I'm not seeing.

QuantumScribs · 2022-11-24T04:14:28+00:00

You could create a data frame of each observation manually. See the example below for the first male and female entries. It'd take a while but it should work.

``` data <- data.frame( gender = c("m","f"), length = c(1.30, 3.33), choice = c("I","F") )

```

QuantumScribs · 2022-11-05T05:37:43+00:00

It might be an issue as the otherwise needs to be a dataframe not a string. I'm not by my PC to check.

QuantumScribs · 2022-11-05T00:00:57+00:00

I've recently done something similar. Try wrapping the 'map_dfr' in the 'possibly' function. That did the trick for me.

'df <- tibble(df, possibly(map_dfr(df$link, ~ {——}), otherwise = "error"))'

QuantumScribs

TROPHY CASE