Question

Bootstrapped standard errors and p-value from weighted mann-whitney test

score 198 · Answer 1 · 2022-09-07T14:05:46.727000

198

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Bootstrapped standard errors and p-value from weighted mann-whitney test

Published on 07 September 2022 at 14:05

score 508 · Answer 2 · 2022-04-17T07:42:55.120000

508

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How to implement "broom" package in R

Published on 17 April 2022 at 07:42

score 664 · Answer 3 · 2022-02-09T14:02:01.123000

664

Views

modelr add_predictions error: in model.frame.default(Terms, newdata, na.action = na.action, xlev = object$xlevels)

Published on 09 February 2022 at 14:02

score 68 · Answer 4 · 2021-07-19T07:03:20.903000

68

Views

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Published on 19 July 2021 at 07:03

score 473 · Answer 5 · 2021-03-22T21:04:25.570000

473

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Published on 22 March 2021 at 21:04

score 412 · Answer 6 · 2021-03-16T22:23:23.680000

412

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Using predict() across multiple models to generate confidence intervals in R

Published on 16 March 2021 at 22:23

score 707 · Answer 7 · 2021-03-14T03:44:37.497000

707

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Using predictNLS to create confidence intervals around fitted values in R?

Published on 14 March 2021 at 03:44

score 1.5k · Answer 8 · 2021-01-27T21:28:57.927000

1.5k

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Published on 27 January 2021 at 21:28

score 381 · Answer 9 · 2020-12-29T19:26:46.527000

381

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Published on 29 December 2020 at 19:26

score 465 · Answer 10 · 2020-06-05T16:13:56.287000

465

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Published on 05 June 2020 at 16:13

score 93 · Answer 11 · 2020-06-04T00:09:02.340000

93

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Published on 04 June 2020 at 00:09

score 1k · Answer 12 · 2019-11-27T15:29:35.307000

1k

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Error message every time I try to work with tidyverse, modelr and dplyr

Published on 27 November 2019 at 15:29

score 113 · Answer 13 · 2019-11-07T20:27:58.690000

113

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run model for each line of model parameters (meta) data.frame

Published on 07 November 2019 at 20:27

score 123 · Answer 14 · 2019-05-15T21:24:16.100000

123

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Mapping a model to a permuted data set sometimes returns the model equation, rather than model output

Published on 15 May 2019 at 21:24

score 63 · Answer 15 · 2019-02-15T22:59:46.690000

63

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Calculate all possible interactions in model_matrix

Published on 15 February 2019 at 22:59

score 52 · Answer 16 · 2019-02-12T22:28:44.837000

52

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How do I add more model predictions after using gather_predictions()?

Published on 12 February 2019 at 22:28

score 493 · Answer 17 · 2018-06-05T20:52:41.640000

493

Views

Error when using broom (augment) and modelr (crossv_kfold) on glm with an offset term

Published on 05 June 2018 at 20:52

score 2.6k · Answer 18 · 2018-05-04T08:13:24.027000

2.6k

Views

when to use map() function and when to use summarise_at()/mutate_at()

Published on 04 May 2018 at 08:13

score 3.1k · Answer 19 · 2018-04-19T15:14:24.357000

3.1k

Views

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Published on 19 April 2018 at 15:14

score 600 · Answer 20 · 2018-01-05T19:09:10.727000

600

Views

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Published on 05 January 2018 at 19:09

List Question

Bootstrapped standard errors and p-value from weighted mann-whitney test

How to implement "broom" package in R

modelr add_predictions error: in model.frame.default(Terms, newdata, na.action = na.action, xlev = object$xlevels)

Add predictions using models with interactions in R

Generating multiple sets of predictions and prediction intervals for fitted points in R

Using predict() across multiple models to generate confidence intervals in R

Using predictNLS to create confidence intervals around fitted values in R?

How do I extract parameters from listed models in R?

Getting predictions from one dataset for multiple models in R

Using purrr and modelr to make predictions from dose-response models (drm)

Select and apply correct model from different data frame using purrr

Error message every time I try to work with tidyverse, modelr and dplyr

run model for each line of model parameters (meta) data.frame

Mapping a model to a permuted data set sometimes returns the model equation, rather than model output

Calculate all possible interactions in model_matrix

How do I add more model predictions after using gather_predictions()?

Error when using broom (augment) and modelr (crossv_kfold) on glm with an offset term

when to use map() function and when to use summarise_at()/mutate_at()

Add predictions for models by group

Expand one column in a tibble and have the descriptive columns follow

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