R: Logistic regression statistics on logit binomial data with repeated-measures
I would like to know how to do a logistic regression of accuracy with logit binomial distribution in a dataset with repeated-measures.
I tried to do a logist regression like the one above, but it doesn't seem to consider the "repeated-measures" by subject, such as I can do with RT in an AOV with "Error(subject)" factor.
df <- read.table(text = "subject condition acc rt
1 A TRUE 254
1 B TRUE 645
2 A FALSE 243
2 B TRUE 656
3 A FALSE 234
3 B TRUE 456", header= TRUE)
acc <- with(df, aggregate(acc, list(subject, condition), sum))
colnames(acc) <- c("subject", "condition", "true")
acc$false <- 2-acc$true
summary(glm(cbind(acc$true, acc$false) ~ condition, data = acc, family = "binomial"))
anova(glm(cbind(acc$true, acc$false) ~ condition, data = acc, family = "binomial"), test = "Chisq")
summary(aov(df$rt ~ df$condition + Error(df$subject)))`
Please, could somebody help me? Thank you a lot!
r statistics regression logistic-regression
asked Nov 12 '18 at 17:01
GustavoGustavo
12
add a comment |
I would like to know how to do a logistic regression of accuracy with logit binomial distribution in a dataset with repeated-measures.
I tried to do a logist regression like the one above, but it doesn't seem to consider the "repeated-measures" by subject, such as I can do with RT in an AOV with "Error(subject)" factor.
df <- read.table(text = "subject condition acc rt
1 A TRUE 254
1 B TRUE 645
2 A FALSE 243
2 B TRUE 656
3 A FALSE 234
3 B TRUE 456", header= TRUE)
acc <- with(df, aggregate(acc, list(subject, condition), sum))
colnames(acc) <- c("subject", "condition", "true")
acc$false <- 2-acc$true
summary(glm(cbind(acc$true, acc$false) ~ condition, data = acc, family = "binomial"))
anova(glm(cbind(acc$true, acc$false) ~ condition, data = acc, family = "binomial"), test = "Chisq")
summary(aov(df$rt ~ df$condition + Error(df$subject)))`
Please, could somebody help me? Thank you a lot!
r statistics regression logistic-regression
asked Nov 12 '18 at 17:01
GustavoGustavo
12
When considering dependent data like this, its common to used a random/mixed effects model (aka multilevel model) that considers the clustering that occurs due to your subjects. Its a different model than the RM-ANOVA, but might be worth considering. Take a look at alme4package in R
– Simon
Nov 13 '18 at 1:51
add a comment |
I would like to know how to do a logistic regression of accuracy with logit binomial distribution in a dataset with repeated-measures.
I tried to do a logist regression like the one above, but it doesn't seem to consider the "repeated-measures" by subject, such as I can do with RT in an AOV with "Error(subject)" factor.
df <- read.table(text = "subject condition acc rt
1 A TRUE 254
1 B TRUE 645
2 A FALSE 243
2 B TRUE 656
3 A FALSE 234
3 B TRUE 456", header= TRUE)
acc <- with(df, aggregate(acc, list(subject, condition), sum))
colnames(acc) <- c("subject", "condition", "true")
acc$false <- 2-acc$true
summary(glm(cbind(acc$true, acc$false) ~ condition, data = acc, family = "binomial"))
anova(glm(cbind(acc$true, acc$false) ~ condition, data = acc, family = "binomial"), test = "Chisq")
summary(aov(df$rt ~ df$condition + Error(df$subject)))`
Please, could somebody help me? Thank you a lot!
r statistics regression logistic-regression
asked Nov 12 '18 at 17:01
GustavoGustavo
12
I would like to know how to do a logistic regression of accuracy with logit binomial distribution in a dataset with repeated-measures.
I tried to do a logist regression like the one above, but it doesn't seem to consider the "repeated-measures" by subject, such as I can do with RT in an AOV with "Error(subject)" factor.
df <- read.table(text = "subject condition acc rt
1 A TRUE 254
1 B TRUE 645
2 A FALSE 243
2 B TRUE 656
3 A FALSE 234
3 B TRUE 456", header= TRUE)
acc <- with(df, aggregate(acc, list(subject, condition), sum))
colnames(acc) <- c("subject", "condition", "true")
acc$false <- 2-acc$true
summary(glm(cbind(acc$true, acc$false) ~ condition, data = acc, family = "binomial"))
anova(glm(cbind(acc$true, acc$false) ~ condition, data = acc, family = "binomial"), test = "Chisq")
summary(aov(df$rt ~ df$condition + Error(df$subject)))`
Please, could somebody help me? Thank you a lot!
r statistics regression logistic-regression
r statistics regression logistic-regression
asked Nov 12 '18 at 17:01
GustavoGustavo
12
asked Nov 12 '18 at 17:01
GustavoGustavo
12
edited Nov 12 '18 at 18:01
Gustavo
asked Nov 12 '18 at 17:01
GustavoGustavo
12
asked Nov 12 '18 at 17:01
GustavoGustavo
12
asked Nov 12 '18 at 17:01
GustavoGustavo
12
12
When considering dependent data like this, its common to used a random/mixed effects model (aka multilevel model) that considers the clustering that occurs due to your subjects. Its a different model than the RM-ANOVA, but might be worth considering. Take a look at alme4package in R
– Simon
Nov 13 '18 at 1:51
add a comment |
When considering dependent data like this, its common to used a random/mixed effects model (aka multilevel model) that considers the clustering that occurs due to your subjects. Its a different model than the RM-ANOVA, but might be worth considering. Take a look at alme4package in R
– Simon
Nov 13 '18 at 1:51
When considering dependent data like this, its common to used a random/mixed effects model (aka multilevel model) that considers the clustering that occurs due to your subjects. Its a different model than the RM-ANOVA, but might be worth considering. Take a look at a
lme4 package in R– Simon
Nov 13 '18 at 1:51
When considering dependent data like this, its common to used a random/mixed effects model (aka multilevel model) that considers the clustering that occurs due to your subjects. Its a different model than the RM-ANOVA, but might be worth considering. Take a look at a
lme4 package in R– Simon
Nov 13 '18 at 1:51
add a comment |
0
active
oldest
votes
Your Answer
StackExchange.ifUsing("editor", function ()
StackExchange.using("externalEditor", function ()
StackExchange.using("snippets", function ()
StackExchange.snippets.init();
);
);
, "code-snippets");
StackExchange.ready(function()
var channelOptions =
tags: "".split(" "),
id: "1"
;
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function()
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled)
StackExchange.using("snippets", function()
createEditor();
);
else
createEditor();
);
function createEditor()
StackExchange.prepareEditor(
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
bindNavPrevention: true,
postfix: "",
imageUploader:
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
,
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
);
);
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function ()
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53266840%2fr-logistic-regression-statistics-on-logit-binomial-data-with-repeated-measures%23new-answer', 'question_page');
);
Post as a guest
Required, but never shown
0
active
oldest
votes
0
active
oldest
votes
active
oldest
votes
active
oldest
votes
Thanks for contributing an answer to Stack Overflow!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function ()
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53266840%2fr-logistic-regression-statistics-on-logit-binomial-data-with-repeated-measures%23new-answer', 'question_page');
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
When considering dependent data like this, its common to used a random/mixed effects model (aka multilevel model) that considers the clustering that occurs due to your subjects. Its a different model than the RM-ANOVA, but might be worth considering. Take a look at a
lme4package in R– Simon
Nov 13 '18 at 1:51