How to resolve variable length differ issue?The difference between bracket [ ] and double bracket [[ ]] for accessing the elements of a list or dataframeHow to sort a dataframe by multiple column(s)How to join (merge) data frames (inner, outer, left, right)How to sum a variable by groupWhat are the differences between “=” and “<-” in R?What is the difference between require() and library()?How to make a great R reproducible exampleHow to check if object (variable) is defined in R?How to find the length of a string in RHow can we make xkcd style graphs?
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How to resolve variable length differ issue?
The difference between bracket [ ] and double bracket [[ ]] for accessing the elements of a list or dataframeHow to sort a dataframe by multiple column(s)How to join (merge) data frames (inner, outer, left, right)How to sum a variable by groupWhat are the differences between “=” and “<-” in R?What is the difference between require() and library()?How to make a great R reproducible exampleHow to check if object (variable) is defined in R?How to find the length of a string in RHow can we make xkcd style graphs?
.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty margin-bottom:0;
0
I have a dataset that looks like this, I am trying to perform the Kruskal Wallis test on it
The r code for it is as follows:
my_data <- read.csv('NBvariants_KWtest.csv',header = TRUE)
head(my_data)
levels(my_data$NaiveBayesvariant)
my_data$NaiveBayesvariant <- ordered(my_data$NaiveBayesvariant,
levels = c("I", "II", "III","IV","V","VI"))
library(dplyr)
group_by(my_data, NaiveBayesvariant) %>%
summarise(
count = n(),
mean = mean(accuracy, na.rm = TRUE),
sd = sd(accuracy, na.rm = TRUE),
median = median(accuracy, na.rm = TRUE),
IQR = IQR(accuracy, na.rm = TRUE)
)
library("ggpubr")
ggboxplot(my_data, x = "NaiveBayesvariant", y = "Accuracy",
color = "NaiveBayesvariant", palette = c("#00AFBB", "#E7B800", "#FC4E07","#00AFBB", "#E7B800", "#FC4E07"),
order = c("I", "II", "III","IV","V","VI"),
ylab = "Accuracy", xlab = "Naive Bayes variant")
ggline(my_data, x = "NaiveBayesvariant", y = "Accuracy",
add = c("mean_se", "jitter"),
order = c("I", "II", "III","IV", "V", "VI"),
ylab = "Naive Bayes variant", xlab = "Accuracy")
kruskal.test(accuracy ~ NaiveBayesvariant, data = my_data)
However, I am getting this error:
> kruskal.test(accuracy ~ NaiveBayesvariant, data = my_data)
Error in model.frame.default(formula = accuracy ~ NaiveBayesvariant, data = my_data) :
variable lengths differ (found for 'NaiveBayesvariant')
> kruskal.test(accuracy ~ NaiveBayesvariant, data = my_data
r kruskal-wallis
asked Mar 26 at 1:25
IronMaidenIronMaiden
7510 bronze badges
add a comment |
0
I have a dataset that looks like this, I am trying to perform the Kruskal Wallis test on it
The r code for it is as follows:
my_data <- read.csv('NBvariants_KWtest.csv',header = TRUE)
head(my_data)
levels(my_data$NaiveBayesvariant)
my_data$NaiveBayesvariant <- ordered(my_data$NaiveBayesvariant,
levels = c("I", "II", "III","IV","V","VI"))
library(dplyr)
group_by(my_data, NaiveBayesvariant) %>%
summarise(
count = n(),
mean = mean(accuracy, na.rm = TRUE),
sd = sd(accuracy, na.rm = TRUE),
median = median(accuracy, na.rm = TRUE),
IQR = IQR(accuracy, na.rm = TRUE)
)
library("ggpubr")
ggboxplot(my_data, x = "NaiveBayesvariant", y = "Accuracy",
color = "NaiveBayesvariant", palette = c("#00AFBB", "#E7B800", "#FC4E07","#00AFBB", "#E7B800", "#FC4E07"),
order = c("I", "II", "III","IV","V","VI"),
ylab = "Accuracy", xlab = "Naive Bayes variant")
ggline(my_data, x = "NaiveBayesvariant", y = "Accuracy",
add = c("mean_se", "jitter"),
order = c("I", "II", "III","IV", "V", "VI"),
ylab = "Naive Bayes variant", xlab = "Accuracy")
kruskal.test(accuracy ~ NaiveBayesvariant, data = my_data)
However, I am getting this error:
> kruskal.test(accuracy ~ NaiveBayesvariant, data = my_data)
Error in model.frame.default(formula = accuracy ~ NaiveBayesvariant, data = my_data) :
variable lengths differ (found for 'NaiveBayesvariant')
> kruskal.test(accuracy ~ NaiveBayesvariant, data = my_data
r kruskal-wallis
asked Mar 26 at 1:25
IronMaidenIronMaiden
7510 bronze badges
2
Please include reproducible and copy&paste-able sample data (using e.g.dput). Screenshots of data/code are never a good idea as we can't extract information from an image. Also please don't post code that is not relevant to your issue. For example, the plotting seems to have nothing to do with your issue. Ditto for the summarisation.
– Maurits Evers
Mar 26 at 1:35
2
I would add that you should post only a minimum, complete, and verifiable example (MCVE). No need to share your ggboxplot code or other irrelevant calculations.
– Dan Y
Mar 26 at 2:01
1
A KW test is usually a two sample test and you don't seem to ahve that setup. Can you clearly state the hypothesis you are hoping to test? (I suspect not.) So it may not be helpful to post data in text form, since it's not clear you have a firm grasp on statistical issues. Other issue might be"Accuracy" != "accuracy"
– 42-
Mar 26 at 2:24
add a comment |
0
0
0
I have a dataset that looks like this, I am trying to perform the Kruskal Wallis test on it
The r code for it is as follows:
my_data <- read.csv('NBvariants_KWtest.csv',header = TRUE)
head(my_data)
levels(my_data$NaiveBayesvariant)
my_data$NaiveBayesvariant <- ordered(my_data$NaiveBayesvariant,
levels = c("I", "II", "III","IV","V","VI"))
library(dplyr)
group_by(my_data, NaiveBayesvariant) %>%
summarise(
count = n(),
mean = mean(accuracy, na.rm = TRUE),
sd = sd(accuracy, na.rm = TRUE),
median = median(accuracy, na.rm = TRUE),
IQR = IQR(accuracy, na.rm = TRUE)
)
library("ggpubr")
ggboxplot(my_data, x = "NaiveBayesvariant", y = "Accuracy",
color = "NaiveBayesvariant", palette = c("#00AFBB", "#E7B800", "#FC4E07","#00AFBB", "#E7B800", "#FC4E07"),
order = c("I", "II", "III","IV","V","VI"),
ylab = "Accuracy", xlab = "Naive Bayes variant")
ggline(my_data, x = "NaiveBayesvariant", y = "Accuracy",
add = c("mean_se", "jitter"),
order = c("I", "II", "III","IV", "V", "VI"),
ylab = "Naive Bayes variant", xlab = "Accuracy")
kruskal.test(accuracy ~ NaiveBayesvariant, data = my_data)
However, I am getting this error:
> kruskal.test(accuracy ~ NaiveBayesvariant, data = my_data)
Error in model.frame.default(formula = accuracy ~ NaiveBayesvariant, data = my_data) :
variable lengths differ (found for 'NaiveBayesvariant')
> kruskal.test(accuracy ~ NaiveBayesvariant, data = my_data
r kruskal-wallis
asked Mar 26 at 1:25
IronMaidenIronMaiden
7510 bronze badges
I have a dataset that looks like this, I am trying to perform the Kruskal Wallis test on it
The r code for it is as follows:
my_data <- read.csv('NBvariants_KWtest.csv',header = TRUE)
head(my_data)
levels(my_data$NaiveBayesvariant)
my_data$NaiveBayesvariant <- ordered(my_data$NaiveBayesvariant,
levels = c("I", "II", "III","IV","V","VI"))
library(dplyr)
group_by(my_data, NaiveBayesvariant) %>%
summarise(
count = n(),
mean = mean(accuracy, na.rm = TRUE),
sd = sd(accuracy, na.rm = TRUE),
median = median(accuracy, na.rm = TRUE),
IQR = IQR(accuracy, na.rm = TRUE)
)
library("ggpubr")
ggboxplot(my_data, x = "NaiveBayesvariant", y = "Accuracy",
color = "NaiveBayesvariant", palette = c("#00AFBB", "#E7B800", "#FC4E07","#00AFBB", "#E7B800", "#FC4E07"),
order = c("I", "II", "III","IV","V","VI"),
ylab = "Accuracy", xlab = "Naive Bayes variant")
ggline(my_data, x = "NaiveBayesvariant", y = "Accuracy",
add = c("mean_se", "jitter"),
order = c("I", "II", "III","IV", "V", "VI"),
ylab = "Naive Bayes variant", xlab = "Accuracy")
kruskal.test(accuracy ~ NaiveBayesvariant, data = my_data)
However, I am getting this error:
> kruskal.test(accuracy ~ NaiveBayesvariant, data = my_data)
Error in model.frame.default(formula = accuracy ~ NaiveBayesvariant, data = my_data) :
variable lengths differ (found for 'NaiveBayesvariant')
> kruskal.test(accuracy ~ NaiveBayesvariant, data = my_data
r kruskal-wallis
r kruskal-wallis
asked Mar 26 at 1:25
IronMaidenIronMaiden
7510 bronze badges
asked Mar 26 at 1:25
IronMaidenIronMaiden
7510 bronze badges
asked Mar 26 at 1:25
IronMaidenIronMaiden
7510 bronze badges
asked Mar 26 at 1:25
IronMaidenIronMaiden
7510 bronze badges
asked Mar 26 at 1:25
IronMaidenIronMaiden
7510 bronze badges
7510 bronze badges
2
Please include reproducible and copy&paste-able sample data (using e.g.dput). Screenshots of data/code are never a good idea as we can't extract information from an image. Also please don't post code that is not relevant to your issue. For example, the plotting seems to have nothing to do with your issue. Ditto for the summarisation.
– Maurits Evers
Mar 26 at 1:35
2
I would add that you should post only a minimum, complete, and verifiable example (MCVE). No need to share your ggboxplot code or other irrelevant calculations.
– Dan Y
Mar 26 at 2:01
1
A KW test is usually a two sample test and you don't seem to ahve that setup. Can you clearly state the hypothesis you are hoping to test? (I suspect not.) So it may not be helpful to post data in text form, since it's not clear you have a firm grasp on statistical issues. Other issue might be"Accuracy" != "accuracy"
– 42-
Mar 26 at 2:24
add a comment |
2
Please include reproducible and copy&paste-able sample data (using e.g.dput). Screenshots of data/code are never a good idea as we can't extract information from an image. Also please don't post code that is not relevant to your issue. For example, the plotting seems to have nothing to do with your issue. Ditto for the summarisation.
– Maurits Evers
Mar 26 at 1:35
2
I would add that you should post only a minimum, complete, and verifiable example (MCVE). No need to share your ggboxplot code or other irrelevant calculations.
– Dan Y
Mar 26 at 2:01
1
A KW test is usually a two sample test and you don't seem to ahve that setup. Can you clearly state the hypothesis you are hoping to test? (I suspect not.) So it may not be helpful to post data in text form, since it's not clear you have a firm grasp on statistical issues. Other issue might be"Accuracy" != "accuracy"
– 42-
Mar 26 at 2:24
2
2
Please include reproducible and copy&paste-able sample data (using e.g.
dput). Screenshots of data/code are never a good idea as we can't extract information from an image. Also please don't post code that is not relevant to your issue. For example, the plotting seems to have nothing to do with your issue. Ditto for the summarisation.– Maurits Evers
Mar 26 at 1:35
Please include reproducible and copy&paste-able sample data (using e.g.
dput). Screenshots of data/code are never a good idea as we can't extract information from an image. Also please don't post code that is not relevant to your issue. For example, the plotting seems to have nothing to do with your issue. Ditto for the summarisation.– Maurits Evers
Mar 26 at 1:35
2
2
I would add that you should post only a minimum, complete, and verifiable example (MCVE). No need to share your ggboxplot code or other irrelevant calculations.
– Dan Y
Mar 26 at 2:01
I would add that you should post only a minimum, complete, and verifiable example (MCVE). No need to share your ggboxplot code or other irrelevant calculations.
– Dan Y
Mar 26 at 2:01
1
1
A KW test is usually a two sample test and you don't seem to ahve that setup. Can you clearly state the hypothesis you are hoping to test? (I suspect not.) So it may not be helpful to post data in text form, since it's not clear you have a firm grasp on statistical issues. Other issue might be
"Accuracy" != "accuracy"– 42-
Mar 26 at 2:24
A KW test is usually a two sample test and you don't seem to ahve that setup. Can you clearly state the hypothesis you are hoping to test? (I suspect not.) So it may not be helpful to post data in text form, since it's not clear you have a firm grasp on statistical issues. Other issue might be
"Accuracy" != "accuracy"– 42-
Mar 26 at 2:24
add a comment |
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2
Please include reproducible and copy&paste-able sample data (using e.g.
dput). Screenshots of data/code are never a good idea as we can't extract information from an image. Also please don't post code that is not relevant to your issue. For example, the plotting seems to have nothing to do with your issue. Ditto for the summarisation.– Maurits Evers
Mar 26 at 1:35
2
I would add that you should post only a minimum, complete, and verifiable example (MCVE). No need to share your ggboxplot code or other irrelevant calculations.
– Dan Y
Mar 26 at 2:01
1
A KW test is usually a two sample test and you don't seem to ahve that setup. Can you clearly state the hypothesis you are hoping to test? (I suspect not.) So it may not be helpful to post data in text form, since it's not clear you have a firm grasp on statistical issues. Other issue might be
"Accuracy" != "accuracy"– 42-
Mar 26 at 2:24