changing x axis scale using ggplot












0















I am using ggplot library to make MAPLOT, where I want x-axis to have scale as 1,100,10000



My data looks like this(few lines)



gene    baseMean    log2FoldChange  lfcSE   stat    pvalue  padj    genename    threshold
ENSG00000223972 0.575771350800225 0.0412219472008923 3.00480558248345 0.0137186736610169 0.989054425422109 NA DDX11L1 non_sig
ENSG00000227232 638.915585716581 0.0759771312187909 0.265826656683689 0.285814568661551 0.77502014921445 0.925602441205682 WASH7P non_sig
ENSG00000238009 0.732676980883345 1.70580495308195 2.88536344691496 0.591192404168632 0.554391511600533 NA RP11-34P13.7 sig
ENSG00000233750 0.665119914806497 1.43662798114606 2.40334694948042 0.597761376673745 0.549999165399301 NA CICP27 non_sig
ENSG00000237683 1.61059299708066 1.32385867730769 1.59103144187764 0.832075748135656 0.405366189814378 NA AL627309.1 non_sig
ENSG00000268903 0.53805903280028 1.11220672347871 3.09943388409949 0.358841893413014 0.719713370602976 NA RP11-34P13.15 non_sig
ENSG00000241860 6.36716721142452 1.00072051754609 0.952066011135871 1.0511041312694 0.293210766884749 0.62978967383262 RP11-34P13.13 non_sig
ENSG00000228463 3.16284935240728 2.539009793132 1.21049386749042 2.09749909629516 0.0359494170864793 0.184551759280715 AP006222.2 non_sig
ENSG00000237094 3.57505447485535 -0.402759405190994 0.989965477248915 -0.406841869183409 0.684124133143038 0.887865190354194 RP4-669L17.10 non_sig


I used the following R code:



df <- read.table("test.txt",header=TRUE,sep="t")
ggplot(df,aes(x=baseMean,y=log2FoldChange)) + geom_point(aes(col=threshold),size=1,shape=20) + ylim(-15,15)+
scale_color_manual(values=c("gray70", "red"), name="threshold")+
scale_x_continuous(trans = 'log10') + geom_hline(yintercept = 0,linetype="dashed",color="red")+ xlab("mean of normalized counts")+
ggtitle("MAPLOT")+theme_classic()


When I use log10 in scale_x_continuous as argument I get 10,1000,100000 as labels on x axis. Is there a way I can get 1,100,10000 as x-axis?



Thanks










share|improve this question























  • You could try setting the x axis breaks to what you want them to be with breaks in scale_x_continuous().

    – aosmith
    Nov 20 '18 at 23:04











  • I tried doing this scale_x_continuous(breaks=c(1,100,10000)), but the graph looks squished. I want x axis to be on log 10 scale starting with 1 and not 10

    – user3138373
    Nov 20 '18 at 23:07











  • stackoverflow.com/questions/14255533/…

    – M-M
    Nov 20 '18 at 23:23
















0















I am using ggplot library to make MAPLOT, where I want x-axis to have scale as 1,100,10000



My data looks like this(few lines)



gene    baseMean    log2FoldChange  lfcSE   stat    pvalue  padj    genename    threshold
ENSG00000223972 0.575771350800225 0.0412219472008923 3.00480558248345 0.0137186736610169 0.989054425422109 NA DDX11L1 non_sig
ENSG00000227232 638.915585716581 0.0759771312187909 0.265826656683689 0.285814568661551 0.77502014921445 0.925602441205682 WASH7P non_sig
ENSG00000238009 0.732676980883345 1.70580495308195 2.88536344691496 0.591192404168632 0.554391511600533 NA RP11-34P13.7 sig
ENSG00000233750 0.665119914806497 1.43662798114606 2.40334694948042 0.597761376673745 0.549999165399301 NA CICP27 non_sig
ENSG00000237683 1.61059299708066 1.32385867730769 1.59103144187764 0.832075748135656 0.405366189814378 NA AL627309.1 non_sig
ENSG00000268903 0.53805903280028 1.11220672347871 3.09943388409949 0.358841893413014 0.719713370602976 NA RP11-34P13.15 non_sig
ENSG00000241860 6.36716721142452 1.00072051754609 0.952066011135871 1.0511041312694 0.293210766884749 0.62978967383262 RP11-34P13.13 non_sig
ENSG00000228463 3.16284935240728 2.539009793132 1.21049386749042 2.09749909629516 0.0359494170864793 0.184551759280715 AP006222.2 non_sig
ENSG00000237094 3.57505447485535 -0.402759405190994 0.989965477248915 -0.406841869183409 0.684124133143038 0.887865190354194 RP4-669L17.10 non_sig


I used the following R code:



df <- read.table("test.txt",header=TRUE,sep="t")
ggplot(df,aes(x=baseMean,y=log2FoldChange)) + geom_point(aes(col=threshold),size=1,shape=20) + ylim(-15,15)+
scale_color_manual(values=c("gray70", "red"), name="threshold")+
scale_x_continuous(trans = 'log10') + geom_hline(yintercept = 0,linetype="dashed",color="red")+ xlab("mean of normalized counts")+
ggtitle("MAPLOT")+theme_classic()


When I use log10 in scale_x_continuous as argument I get 10,1000,100000 as labels on x axis. Is there a way I can get 1,100,10000 as x-axis?



Thanks










share|improve this question























  • You could try setting the x axis breaks to what you want them to be with breaks in scale_x_continuous().

    – aosmith
    Nov 20 '18 at 23:04











  • I tried doing this scale_x_continuous(breaks=c(1,100,10000)), but the graph looks squished. I want x axis to be on log 10 scale starting with 1 and not 10

    – user3138373
    Nov 20 '18 at 23:07











  • stackoverflow.com/questions/14255533/…

    – M-M
    Nov 20 '18 at 23:23














0












0








0








I am using ggplot library to make MAPLOT, where I want x-axis to have scale as 1,100,10000



My data looks like this(few lines)



gene    baseMean    log2FoldChange  lfcSE   stat    pvalue  padj    genename    threshold
ENSG00000223972 0.575771350800225 0.0412219472008923 3.00480558248345 0.0137186736610169 0.989054425422109 NA DDX11L1 non_sig
ENSG00000227232 638.915585716581 0.0759771312187909 0.265826656683689 0.285814568661551 0.77502014921445 0.925602441205682 WASH7P non_sig
ENSG00000238009 0.732676980883345 1.70580495308195 2.88536344691496 0.591192404168632 0.554391511600533 NA RP11-34P13.7 sig
ENSG00000233750 0.665119914806497 1.43662798114606 2.40334694948042 0.597761376673745 0.549999165399301 NA CICP27 non_sig
ENSG00000237683 1.61059299708066 1.32385867730769 1.59103144187764 0.832075748135656 0.405366189814378 NA AL627309.1 non_sig
ENSG00000268903 0.53805903280028 1.11220672347871 3.09943388409949 0.358841893413014 0.719713370602976 NA RP11-34P13.15 non_sig
ENSG00000241860 6.36716721142452 1.00072051754609 0.952066011135871 1.0511041312694 0.293210766884749 0.62978967383262 RP11-34P13.13 non_sig
ENSG00000228463 3.16284935240728 2.539009793132 1.21049386749042 2.09749909629516 0.0359494170864793 0.184551759280715 AP006222.2 non_sig
ENSG00000237094 3.57505447485535 -0.402759405190994 0.989965477248915 -0.406841869183409 0.684124133143038 0.887865190354194 RP4-669L17.10 non_sig


I used the following R code:



df <- read.table("test.txt",header=TRUE,sep="t")
ggplot(df,aes(x=baseMean,y=log2FoldChange)) + geom_point(aes(col=threshold),size=1,shape=20) + ylim(-15,15)+
scale_color_manual(values=c("gray70", "red"), name="threshold")+
scale_x_continuous(trans = 'log10') + geom_hline(yintercept = 0,linetype="dashed",color="red")+ xlab("mean of normalized counts")+
ggtitle("MAPLOT")+theme_classic()


When I use log10 in scale_x_continuous as argument I get 10,1000,100000 as labels on x axis. Is there a way I can get 1,100,10000 as x-axis?



Thanks










share|improve this question














I am using ggplot library to make MAPLOT, where I want x-axis to have scale as 1,100,10000



My data looks like this(few lines)



gene    baseMean    log2FoldChange  lfcSE   stat    pvalue  padj    genename    threshold
ENSG00000223972 0.575771350800225 0.0412219472008923 3.00480558248345 0.0137186736610169 0.989054425422109 NA DDX11L1 non_sig
ENSG00000227232 638.915585716581 0.0759771312187909 0.265826656683689 0.285814568661551 0.77502014921445 0.925602441205682 WASH7P non_sig
ENSG00000238009 0.732676980883345 1.70580495308195 2.88536344691496 0.591192404168632 0.554391511600533 NA RP11-34P13.7 sig
ENSG00000233750 0.665119914806497 1.43662798114606 2.40334694948042 0.597761376673745 0.549999165399301 NA CICP27 non_sig
ENSG00000237683 1.61059299708066 1.32385867730769 1.59103144187764 0.832075748135656 0.405366189814378 NA AL627309.1 non_sig
ENSG00000268903 0.53805903280028 1.11220672347871 3.09943388409949 0.358841893413014 0.719713370602976 NA RP11-34P13.15 non_sig
ENSG00000241860 6.36716721142452 1.00072051754609 0.952066011135871 1.0511041312694 0.293210766884749 0.62978967383262 RP11-34P13.13 non_sig
ENSG00000228463 3.16284935240728 2.539009793132 1.21049386749042 2.09749909629516 0.0359494170864793 0.184551759280715 AP006222.2 non_sig
ENSG00000237094 3.57505447485535 -0.402759405190994 0.989965477248915 -0.406841869183409 0.684124133143038 0.887865190354194 RP4-669L17.10 non_sig


I used the following R code:



df <- read.table("test.txt",header=TRUE,sep="t")
ggplot(df,aes(x=baseMean,y=log2FoldChange)) + geom_point(aes(col=threshold),size=1,shape=20) + ylim(-15,15)+
scale_color_manual(values=c("gray70", "red"), name="threshold")+
scale_x_continuous(trans = 'log10') + geom_hline(yintercept = 0,linetype="dashed",color="red")+ xlab("mean of normalized counts")+
ggtitle("MAPLOT")+theme_classic()


When I use log10 in scale_x_continuous as argument I get 10,1000,100000 as labels on x axis. Is there a way I can get 1,100,10000 as x-axis?



Thanks







r ggplot2






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Nov 20 '18 at 22:50









user3138373user3138373

165110




165110













  • You could try setting the x axis breaks to what you want them to be with breaks in scale_x_continuous().

    – aosmith
    Nov 20 '18 at 23:04











  • I tried doing this scale_x_continuous(breaks=c(1,100,10000)), but the graph looks squished. I want x axis to be on log 10 scale starting with 1 and not 10

    – user3138373
    Nov 20 '18 at 23:07











  • stackoverflow.com/questions/14255533/…

    – M-M
    Nov 20 '18 at 23:23



















  • You could try setting the x axis breaks to what you want them to be with breaks in scale_x_continuous().

    – aosmith
    Nov 20 '18 at 23:04











  • I tried doing this scale_x_continuous(breaks=c(1,100,10000)), but the graph looks squished. I want x axis to be on log 10 scale starting with 1 and not 10

    – user3138373
    Nov 20 '18 at 23:07











  • stackoverflow.com/questions/14255533/…

    – M-M
    Nov 20 '18 at 23:23

















You could try setting the x axis breaks to what you want them to be with breaks in scale_x_continuous().

– aosmith
Nov 20 '18 at 23:04





You could try setting the x axis breaks to what you want them to be with breaks in scale_x_continuous().

– aosmith
Nov 20 '18 at 23:04













I tried doing this scale_x_continuous(breaks=c(1,100,10000)), but the graph looks squished. I want x axis to be on log 10 scale starting with 1 and not 10

– user3138373
Nov 20 '18 at 23:07





I tried doing this scale_x_continuous(breaks=c(1,100,10000)), but the graph looks squished. I want x axis to be on log 10 scale starting with 1 and not 10

– user3138373
Nov 20 '18 at 23:07













stackoverflow.com/questions/14255533/…

– M-M
Nov 20 '18 at 23:23





stackoverflow.com/questions/14255533/…

– M-M
Nov 20 '18 at 23:23












1 Answer
1






active

oldest

votes


















1


















df <- read.table(text = "
gene baseMean log2FoldChange lfcSE stat pvalue padj genename threshold
ENSG00000223972 0.575771350800225 0.0412219472008923 3.00480558248345 0.0137186736610169 0.989054425422109 NA DDX11L1 non_sig
ENSG00000227232 638.915585716581 0.0759771312187909 0.265826656683689 0.285814568661551 0.77502014921445 0.925602441205682 WASH7P non_sig
ENSG00000238009 0.732676980883345 1.70580495308195 2.88536344691496 0.591192404168632 0.554391511600533 NA RP11-34P13.7 sig
ENSG00000233750 0.665119914806497 1.43662798114606 2.40334694948042 0.597761376673745 0.549999165399301 NA CICP27 non_sig
ENSG00000237683 1.61059299708066 1.32385867730769 1.59103144187764 0.832075748135656 0.405366189814378 NA AL627309.1 non_sig
ENSG00000268903 0.53805903280028 1.11220672347871 3.09943388409949 0.358841893413014 0.719713370602976 NA RP11-34P13.15 non_sig
ENSG00000241860 6.36716721142452 1.00072051754609 0.952066011135871 1.0511041312694 0.293210766884749 0.62978967383262 RP11-34P13.13 non_sig
ENSG00000228463 3.16284935240728 2.539009793132 1.21049386749042 2.09749909629516 0.0359494170864793 0.184551759280715 AP006222.2 non_sig
ENSG00000237094 3.57505447485535 -0.402759405190994 0.989965477248915 -0.406841869183409 0.684124133143038 0.887865190354194 RP4-669L17.10 non_sig
",
header = TRUE)

library(ggplot2)
ggplot(df, aes(x = baseMean, y = log2FoldChange)) +
geom_point(aes(col = threshold), size = 1, shape = 20) +
ylim(-15, 15) +
scale_color_manual(values = c("gray70", "red"), name = "threshold") +
scale_x_continuous(trans = "log10", breaks = c(1, 100, 10000), limits = c(NA, 10000)) +
geom_hline(yintercept = 0, linetype = "dashed",color = "red") +
xlab("mean of normalized counts") + ggtitle("MAPLOT") +

theme_classic()







share|improve this answer
























  • needed to set breaks, thanks :)

    – user3138373
    Nov 20 '18 at 23:14











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
});


}
});














draft saved

draft discarded


















StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53402774%2fchanging-x-axis-scale-using-ggplot%23new-answer', 'question_page');
}
);

Post as a guest















Required, but never shown

























1 Answer
1






active

oldest

votes








1 Answer
1






active

oldest

votes









active

oldest

votes






active

oldest

votes









1


















df <- read.table(text = "
gene baseMean log2FoldChange lfcSE stat pvalue padj genename threshold
ENSG00000223972 0.575771350800225 0.0412219472008923 3.00480558248345 0.0137186736610169 0.989054425422109 NA DDX11L1 non_sig
ENSG00000227232 638.915585716581 0.0759771312187909 0.265826656683689 0.285814568661551 0.77502014921445 0.925602441205682 WASH7P non_sig
ENSG00000238009 0.732676980883345 1.70580495308195 2.88536344691496 0.591192404168632 0.554391511600533 NA RP11-34P13.7 sig
ENSG00000233750 0.665119914806497 1.43662798114606 2.40334694948042 0.597761376673745 0.549999165399301 NA CICP27 non_sig
ENSG00000237683 1.61059299708066 1.32385867730769 1.59103144187764 0.832075748135656 0.405366189814378 NA AL627309.1 non_sig
ENSG00000268903 0.53805903280028 1.11220672347871 3.09943388409949 0.358841893413014 0.719713370602976 NA RP11-34P13.15 non_sig
ENSG00000241860 6.36716721142452 1.00072051754609 0.952066011135871 1.0511041312694 0.293210766884749 0.62978967383262 RP11-34P13.13 non_sig
ENSG00000228463 3.16284935240728 2.539009793132 1.21049386749042 2.09749909629516 0.0359494170864793 0.184551759280715 AP006222.2 non_sig
ENSG00000237094 3.57505447485535 -0.402759405190994 0.989965477248915 -0.406841869183409 0.684124133143038 0.887865190354194 RP4-669L17.10 non_sig
",
header = TRUE)

library(ggplot2)
ggplot(df, aes(x = baseMean, y = log2FoldChange)) +
geom_point(aes(col = threshold), size = 1, shape = 20) +
ylim(-15, 15) +
scale_color_manual(values = c("gray70", "red"), name = "threshold") +
scale_x_continuous(trans = "log10", breaks = c(1, 100, 10000), limits = c(NA, 10000)) +
geom_hline(yintercept = 0, linetype = "dashed",color = "red") +
xlab("mean of normalized counts") + ggtitle("MAPLOT") +

theme_classic()







share|improve this answer
























  • needed to set breaks, thanks :)

    – user3138373
    Nov 20 '18 at 23:14
















1


















df <- read.table(text = "
gene baseMean log2FoldChange lfcSE stat pvalue padj genename threshold
ENSG00000223972 0.575771350800225 0.0412219472008923 3.00480558248345 0.0137186736610169 0.989054425422109 NA DDX11L1 non_sig
ENSG00000227232 638.915585716581 0.0759771312187909 0.265826656683689 0.285814568661551 0.77502014921445 0.925602441205682 WASH7P non_sig
ENSG00000238009 0.732676980883345 1.70580495308195 2.88536344691496 0.591192404168632 0.554391511600533 NA RP11-34P13.7 sig
ENSG00000233750 0.665119914806497 1.43662798114606 2.40334694948042 0.597761376673745 0.549999165399301 NA CICP27 non_sig
ENSG00000237683 1.61059299708066 1.32385867730769 1.59103144187764 0.832075748135656 0.405366189814378 NA AL627309.1 non_sig
ENSG00000268903 0.53805903280028 1.11220672347871 3.09943388409949 0.358841893413014 0.719713370602976 NA RP11-34P13.15 non_sig
ENSG00000241860 6.36716721142452 1.00072051754609 0.952066011135871 1.0511041312694 0.293210766884749 0.62978967383262 RP11-34P13.13 non_sig
ENSG00000228463 3.16284935240728 2.539009793132 1.21049386749042 2.09749909629516 0.0359494170864793 0.184551759280715 AP006222.2 non_sig
ENSG00000237094 3.57505447485535 -0.402759405190994 0.989965477248915 -0.406841869183409 0.684124133143038 0.887865190354194 RP4-669L17.10 non_sig
",
header = TRUE)

library(ggplot2)
ggplot(df, aes(x = baseMean, y = log2FoldChange)) +
geom_point(aes(col = threshold), size = 1, shape = 20) +
ylim(-15, 15) +
scale_color_manual(values = c("gray70", "red"), name = "threshold") +
scale_x_continuous(trans = "log10", breaks = c(1, 100, 10000), limits = c(NA, 10000)) +
geom_hline(yintercept = 0, linetype = "dashed",color = "red") +
xlab("mean of normalized counts") + ggtitle("MAPLOT") +

theme_classic()







share|improve this answer
























  • needed to set breaks, thanks :)

    – user3138373
    Nov 20 '18 at 23:14














1












1








1











df <- read.table(text = "
gene baseMean log2FoldChange lfcSE stat pvalue padj genename threshold
ENSG00000223972 0.575771350800225 0.0412219472008923 3.00480558248345 0.0137186736610169 0.989054425422109 NA DDX11L1 non_sig
ENSG00000227232 638.915585716581 0.0759771312187909 0.265826656683689 0.285814568661551 0.77502014921445 0.925602441205682 WASH7P non_sig
ENSG00000238009 0.732676980883345 1.70580495308195 2.88536344691496 0.591192404168632 0.554391511600533 NA RP11-34P13.7 sig
ENSG00000233750 0.665119914806497 1.43662798114606 2.40334694948042 0.597761376673745 0.549999165399301 NA CICP27 non_sig
ENSG00000237683 1.61059299708066 1.32385867730769 1.59103144187764 0.832075748135656 0.405366189814378 NA AL627309.1 non_sig
ENSG00000268903 0.53805903280028 1.11220672347871 3.09943388409949 0.358841893413014 0.719713370602976 NA RP11-34P13.15 non_sig
ENSG00000241860 6.36716721142452 1.00072051754609 0.952066011135871 1.0511041312694 0.293210766884749 0.62978967383262 RP11-34P13.13 non_sig
ENSG00000228463 3.16284935240728 2.539009793132 1.21049386749042 2.09749909629516 0.0359494170864793 0.184551759280715 AP006222.2 non_sig
ENSG00000237094 3.57505447485535 -0.402759405190994 0.989965477248915 -0.406841869183409 0.684124133143038 0.887865190354194 RP4-669L17.10 non_sig
",
header = TRUE)

library(ggplot2)
ggplot(df, aes(x = baseMean, y = log2FoldChange)) +
geom_point(aes(col = threshold), size = 1, shape = 20) +
ylim(-15, 15) +
scale_color_manual(values = c("gray70", "red"), name = "threshold") +
scale_x_continuous(trans = "log10", breaks = c(1, 100, 10000), limits = c(NA, 10000)) +
geom_hline(yintercept = 0, linetype = "dashed",color = "red") +
xlab("mean of normalized counts") + ggtitle("MAPLOT") +

theme_classic()







share|improve this answer

















df <- read.table(text = "
gene baseMean log2FoldChange lfcSE stat pvalue padj genename threshold
ENSG00000223972 0.575771350800225 0.0412219472008923 3.00480558248345 0.0137186736610169 0.989054425422109 NA DDX11L1 non_sig
ENSG00000227232 638.915585716581 0.0759771312187909 0.265826656683689 0.285814568661551 0.77502014921445 0.925602441205682 WASH7P non_sig
ENSG00000238009 0.732676980883345 1.70580495308195 2.88536344691496 0.591192404168632 0.554391511600533 NA RP11-34P13.7 sig
ENSG00000233750 0.665119914806497 1.43662798114606 2.40334694948042 0.597761376673745 0.549999165399301 NA CICP27 non_sig
ENSG00000237683 1.61059299708066 1.32385867730769 1.59103144187764 0.832075748135656 0.405366189814378 NA AL627309.1 non_sig
ENSG00000268903 0.53805903280028 1.11220672347871 3.09943388409949 0.358841893413014 0.719713370602976 NA RP11-34P13.15 non_sig
ENSG00000241860 6.36716721142452 1.00072051754609 0.952066011135871 1.0511041312694 0.293210766884749 0.62978967383262 RP11-34P13.13 non_sig
ENSG00000228463 3.16284935240728 2.539009793132 1.21049386749042 2.09749909629516 0.0359494170864793 0.184551759280715 AP006222.2 non_sig
ENSG00000237094 3.57505447485535 -0.402759405190994 0.989965477248915 -0.406841869183409 0.684124133143038 0.887865190354194 RP4-669L17.10 non_sig
",
header = TRUE)

library(ggplot2)
ggplot(df, aes(x = baseMean, y = log2FoldChange)) +
geom_point(aes(col = threshold), size = 1, shape = 20) +
ylim(-15, 15) +
scale_color_manual(values = c("gray70", "red"), name = "threshold") +
scale_x_continuous(trans = "log10", breaks = c(1, 100, 10000), limits = c(NA, 10000)) +
geom_hline(yintercept = 0, linetype = "dashed",color = "red") +
xlab("mean of normalized counts") + ggtitle("MAPLOT") +

theme_classic()








share|improve this answer












share|improve this answer



share|improve this answer










answered Nov 20 '18 at 23:09









Andrew LaversAndrew Lavers

3,0711713




3,0711713













  • needed to set breaks, thanks :)

    – user3138373
    Nov 20 '18 at 23:14



















  • needed to set breaks, thanks :)

    – user3138373
    Nov 20 '18 at 23:14

















needed to set breaks, thanks :)

– user3138373
Nov 20 '18 at 23:14





needed to set breaks, thanks :)

– user3138373
Nov 20 '18 at 23:14




















draft saved

draft discarded




















































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.




draft saved


draft discarded














StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53402774%2fchanging-x-axis-scale-using-ggplot%23new-answer', 'question_page');
}
);

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







Popular posts from this blog

How to change which sound is reproduced for terminal bell?

Can I use Tabulator js library in my java Spring + Thymeleaf project?

Title Spacing in Bjornstrup Chapter, Removing Chapter Number From Contents