Comments (17)
Just had an email-chat with one of the organizers, the next date (and hence, the presentation) is probably in two weeks! That's indeed early, but since the aim is to carefully raise awareness of our project, I think the timeframe is OK.
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Ok, I will try to add some slides (hopefully, when I find time), and depending on the remaining time during the talk, either skip or show them.
from easystats.
That would be awesome! Unfortunately, I won't be able to be there in person (as I just arrived in Singapore), but I would be glad to help with the talk prep if needed.
from easystats.
So you should build up an R-user group in Singapore and hold a talk there! ;-)
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I believe that a few slides stating the goal and the "philosophy"/vision, the future packages/directions and some features demonstration (if we have) should be good enough :) This will be the occasion for us to formulate and clarify our ideas so it can only do good.
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I have added a first draft:
https://github.com/easystats/easystats/tree/master/presentations/2019-02_Hamburg_RUG
The idea is to show the monster without xray first, then two slides with functions that can see inside (monster with xray) and then the insight-logo.
Maybe I add one slide at the beginning with a short introduction of us both.
from easystats.
I took a look at the presentation, it's great!! I think it will have quite a success :)
you can also add my uni logo if you want to emphasize the "collaborative & international" nature of the initiative :)
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I have updated the presentation and included your logo. If you have any comments or suggestions, feel free to leave your comments here... I just took the template from our departement, which was the easiest start to set up a presentation for the RUG-meeting.
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Should I include the logos from the other packages to the last slide as well?
I have updated the slides, the screenshot from pkg-description is now up tp date.
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If you agree with their existence in the org yes you can add them as WIP directions :)
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Now that I think, it would be interesting for people to see what could look like one of the high-level packages, maybe by showcasing the "proof-of-concept" example from report:
# Example
lm(Sepal.Length ~ Species, data=iris) %>%
report()
## We fitted a linear model to predict Sepal.Length with Species. The model's explanatory power (R2)
## is of 0.62 (adj. R2 = 0.61). The model's intercept is at 5.01.
##
## Within this model:
## - Speciesversicolor is significant (beta = 0.93, 95% CI [0.73, 1.13], p < .001) and large (Std.
## beta = 1.12).
## - Speciesvirginica is significant (beta = 1.58, 95% CI [1.38, 1.79], p < .001) and large (Std. beta
## = 1.91).
lm(Sepal.Length ~ Petal.Length + Species, data=iris) %>%
to_fulltext()
## We fitted a linear model to predict Sepal.Length with Petal.Length and Species (formula =
## Sepal.Length ~ Petal.Length + Species). Effect sizes were labelled following Cohen's (1988)
## recommendations. The model explains a significant proportion of variance (R2 = 0.84, F(4, 146) =
## 249.40, p < .001, adj. R2 = 0.83). The model's intercept is at 3.68(t() = 34.72, 95% CI [3.47,
## 3.89], p < .001).
##
## Within this model:
## - Petal.Length is positive, significant (beta = 0.90, t(146) = 13.96, 95% CI [0.78, 1.03], p <
## .001) and large (Std. beta = 1.93, Std. SE = 0.14, Std. 95% CI [1.66, 2.20]).
## - Speciesversicolor is negative, significant (beta = -1.60, t(146) = -8.28, 95% CI [-1.98, -1.22],
## p < .001) and large (Std. beta = -1.93, Std. SE = 0.23, Std. 95% CI [-2.40, -1.47]).
## - Speciesvirginica is negative, significant (beta = -2.12, t(146) = -7.74, 95% CI [-2.66, -1.58], p
## < .001) and large (Std. beta = -2.56, Std. SE = 0.33, Std. 95% CI [-3.21, -1.90]).
lm(Sepal.Length ~ Petal.Length + Species, data=iris) %>%
to_table()
Parameter | beta | CI_low | CI_high | p |
---|---|---|---|---|
(Intercept) | 3.68 | 3.47 | 3.89 | 0.00 |
Petal.Length | 0.90 | 0.78 | 1.03 | 0.00 |
Speciesversicolor | -1.60 | -1.98 | -1.22 | 0.00 |
Speciesvirginica | -2.12 | -2.66 | -1.58 | 0.00 |
lm(Sepal.Length ~ Petal.Length + Species, data=iris) %>%
to_fulltable()
Parameter | beta | SE | t | DoF_residual | CI_low | CI_high | p | Std_beta | Std_SE | Std_CI_low | Std_CI_high |
---|---|---|---|---|---|---|---|---|---|---|---|
(Intercept) | 3.68 | 0.11 | 34.72 | 146 | 3.47 | 3.89 | 0.00 | 1.50 | 0.19 | 1.12 | 1.87 |
Petal.Length | 0.90 | 0.06 | 13.96 | 146 | 0.78 | 1.03 | 0.00 | 1.93 | 0.14 | 1.66 | 2.20 |
Speciesversicolor | -1.60 | 0.19 | -8.28 | 146 | -1.98 | -1.22 | 0.00 | -1.93 | 0.23 | -2.40 | -1.47 |
Speciesvirginica | -2.12 | 0.27 | -7.74 | 146 | -2.66 | -1.58 | 0.00 | -2.56 | 0.33 | -3.21 | -1.90 |
from easystats.
Now that I'm thinking about it, the table part is not that original compared to the text aspect, so I guess it can be removed
from easystats.
Ok, I added information on the report-packages to the presentation.
from easystats.
Date is announced:
https://www.meetup.com/de-DE/Hamburg-R-User-Group/events/258756859/
I'll close this issue now. Feel free to re-open (or comment in this closed issue), in case you would like to have modifications to the slides.
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looking forward to some feedback
from easystats.
How did it go?
from easystats.
I thought it was here that we briefly mentioned doing presentations through R, so I'll leave it here for future ref :)
https://www.r-bloggers.com/how-to-share-r-visualizations-in-microsoft-powerpoint/
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Related Issues (20)
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- Adding links to `see` vignettes in individual packages HOT 1
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- Next meta-package CRAN release HOT 6
- Going workflow green HOT 2
- Surprising behaviour of tests on Windows in some specific contexts HOT 5
- Getting rid of a warning in a vignette HOT 2
- Check that the tests don't change the global state
- Running tests on 2 cores only HOT 6
- Enable required workflows? HOT 6
- Discussion: Bump minimum needed R version to `R 4.0` across the ecosystem? HOT 43
- Consistency of arguments across packages, in particular `by`, `group` and `group_by`. HOT 12
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